Entries Tagged "economics of security"

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Department of Commerce Report on the Botnet Threat

Last month, the US Department of Commerce released a report on the threat of botnets and what to do about it. I note that it explicitly said that the IoT makes the threat worse, and that the solutions are largely economic.

The Departments determined that the opportunities and challenges in working toward dramatically reducing threats from automated, distributed attacks can be summarized in six principal themes.

  1. Automated, distributed attacks are a global problem. The majority of the compromised devices in recent noteworthy botnets have been geographically located outside the United States. To increase the resilience of the Internet and communications ecosystem against these threats, many of which originate outside the United States, we must continue to work closely with international partners.
  2. Effective tools exist, but are not widely used. While there remains room for improvement, the tools, processes, and practices required to significantly enhance the resilience of the Internet and communications ecosystem are widely available, and are routinely applied in selected market sectors. However, they are not part of common practices for product development and deployment in many other sectors for a variety of reasons, including (but not limited to) lack of awareness, cost avoidance, insufficient technical expertise, and lack of market incentives
  3. Products should be secured during all stages of the lifecycle. Devices that are vulnerable at time of deployment, lack facilities to patch vulnerabilities after discovery, or remain in service after vendor support ends make assembling automated, distributed threats far too easy.
  4. Awareness and education are needed. Home users and some enterprise customers are often unaware of the role their devices could play in a botnet attack and may not fully understand the merits of available technical controls. Product developers, manufacturers, and infrastructure operators often lack the knowledge and skills necessary to deploy tools, processes, and practices that would make the ecosystem more resilient.
  5. Market incentives should be more effectively aligned. Market incentives do not currently appear to align with the goal of “dramatically reducing threats perpetrated by automated and distributed attacks.” Product developers, manufacturers, and vendors are motivated to minimize cost and time to market, rather than to build in security or offer efficient security updates. Market incentives must be realigned to promote a better balance between security and convenience when developing products.
  6. Automated, distributed attacks are an ecosystem-wide challenge. No single stakeholder community can address the problem in isolation.

[…]

The Departments identified five complementary and mutually supportive goals that, if realized, would dramatically reduce the threat of automated, distributed attacks and improve the resilience and redundancy of the ecosystem. A list of suggested actions for key stakeholders reinforces each goal. The goals are:

  • Goal 1: Identify a clear pathway toward an adaptable, sustainable, and secure technology marketplace.
  • Goal 2: Promote innovation in the infrastructure for dynamic adaptation to evolving threats.
  • Goal 3: Promote innovation at the edge of the network to prevent, detect, and mitigate automated, distributed attacks.
  • Goal 4: Promote and support coalitions between the security, infrastructure, and operational technology communities domestically and around the world
  • Goal 5: Increase awareness and education across the ecosystem.

Posted on July 11, 2018 at 6:08 AMView Comments

Regulating Bitcoin

Ross Anderson has a new paper on cryptocurrency exchanges. From his blog:

Bitcoin Redux explains what’s going wrong in the world of cryptocurrencies. The bitcoin exchanges are developing into a shadow banking system, which do not give their customers actual bitcoin but rather display a “balance” and allow them to transact with others. However if Alice sends Bob a bitcoin, and they’re both customers of the same exchange, it just adjusts their balances rather than doing anything on the blockchain. This is an e-money service, according to European law, but is the law enforced? Not where it matters. We’ve been looking at the details.

The paper.

Posted on June 5, 2018 at 6:32 AMView Comments

Estimating the Cost of Internet Insecurity

It’s really hard to estimate the cost of an insecure Internet. Studies are all over the map. A methodical study by RAND is the best work I’ve seen at trying to put a number on this. The results are, well, all over the map:

Estimating the Global Cost of Cyber Risk: Methodology and Examples“:

Abstract: There is marked variability from study to study in the estimated direct and systemic costs of cyber incidents, which is further complicated by the considerable variation in cyber risk in different countries and industry sectors. This report shares a transparent and adaptable methodology for estimating present and future global costs of cyber risk that acknowledges the considerable uncertainty in the frequencies and costs of cyber incidents. Specifically, this methodology (1) identifies the value at risk by country and industry sector; (2) computes direct costs by considering multiple financial exposures for each industry sector and the fraction of each exposure that is potentially at risk to cyber incidents; and (3) computes the systemic costs of cyber risk between industry sectors using Organisation for Economic Co-operation and Development input, output, and value-added data across sectors in more than 60 countries. The report has a companion Excel-based modeling and simulation platform that allows users to alter assumptions and investigate a wide variety of research questions. The authors used a literature review and data to create multiple sample sets of parameters. They then ran a set of case studies to show the model’s functionality and to compare the results against those in the existing literature. The resulting values are highly sensitive to input parameters; for instance, the global cost of cyber crime has direct gross domestic product (GDP) costs of $275 billion to $6.6 trillion and total GDP costs (direct plus systemic) of $799 billion to $22.5 trillion (1.1 to 32.4 percent of GDP).

Here’s Rand’s risk calculator, if you want to play with the parameters yourself.

Note: I was an advisor to the project.

Separately, Symantec has published a new cybercrime report with their own statistics.

Posted on January 29, 2018 at 6:18 AMView Comments

Security and the Internet of Things

Last year, on October 21, your digital video recorder ­- or at least a DVR like yours ­- knocked Twitter off the internet. Someone used your DVR, along with millions of insecure webcams, routers, and other connected devices, to launch an attack that started a chain reaction, resulting in Twitter, Reddit, Netflix, and many sites going off the internet. You probably didn’t realize that your DVR had that kind of power. But it does.

All computers are hackable. This has as much to do with the computer market as it does with the technologies. We prefer our software full of features and inexpensive, at the expense of security and reliability. That your computer can affect the security of Twitter is a market failure. The industry is filled with market failures that, until now, have been largely ignorable. As computers continue to permeate our homes, cars, businesses, these market failures will no longer be tolerable. Our only solution will be regulation, and that regulation will be foisted on us by a government desperate to “do something” in the face of disaster.

In this article I want to outline the problems, both technical and political, and point to some regulatory solutions. Regulation might be a dirty word in today’s political climate, but security is the exception to our small-government bias. And as the threats posed by computers become greater and more catastrophic, regulation will be inevitable. So now’s the time to start thinking about it.

We also need to reverse the trend to connect everything to the internet. And if we risk harm and even death, we need to think twice about what we connect and what we deliberately leave uncomputerized.

If we get this wrong, the computer industry will look like the pharmaceutical industry, or the aircraft industry. But if we get this right, we can maintain the innovative environment of the internet that has given us so much.

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We no longer have things with computers embedded in them. We have computers with things attached to them.

Your modern refrigerator is a computer that keeps things cold. Your oven, similarly, is a computer that makes things hot. An ATM is a computer with money inside. Your car is no longer a mechanical device with some computers inside; it’s a computer with four wheels and an engine. Actually, it’s a distributed system of over 100 computers with four wheels and an engine. And, of course, your phones became full-power general-purpose computers in 2007, when the iPhone was introduced.

We wear computers: fitness trackers and computer-enabled medical devices ­- and, of course, we carry our smartphones everywhere. Our homes have smart thermostats, smart appliances, smart door locks, even smart light bulbs. At work, many of those same smart devices are networked together with CCTV cameras, sensors that detect customer movements, and everything else. Cities are starting to embed smart sensors in roads, streetlights, and sidewalk squares, also smart energy grids and smart transportation networks. A nuclear power plant is really just a computer that produces electricity, and ­- like everything else we’ve just listed -­ it’s on the internet.

The internet is no longer a web that we connect to. Instead, it’s a computerized, networked, and interconnected world that we live in. This is the future, and what we’re calling the Internet of Things.

Broadly speaking, the Internet of Things has three parts. There are the sensors that collect data about us and our environment: smart thermostats, street and highway sensors, and those ubiquitous smartphones with their motion sensors and GPS location receivers. Then there are the “smarts” that figure out what the data means and what to do about it. This includes all the computer processors on these devices and ­- increasingly ­- in the cloud, as well as the memory that stores all of this information. And finally, there are the actuators that affect our environment. The point of a smart thermostat isn’t to record the temperature; it’s to control the furnace and the air conditioner. Driverless cars collect data about the road and the environment to steer themselves safely to their destinations.

You can think of the sensors as the eyes and ears of the internet. You can think of the actuators as the hands and feet of the internet. And you can think of the stuff in the middle as the brain. We are building an internet that senses, thinks, and acts.

This is the classic definition of a robot. We’re building a world-size robot, and we don’t even realize it.

To be sure, it’s not a robot in the classical sense. We think of robots as discrete autonomous entities, with sensors, brain, and actuators all together in a metal shell. The world-size robot is distributed. It doesn’t have a singular body, and parts of it are controlled in different ways by different people. It doesn’t have a central brain, and it has nothing even remotely resembling a consciousness. It doesn’t have a single goal or focus. It’s not even something we deliberately designed. It’s something we have inadvertently built out of the everyday objects we live with and take for granted. It is the extension of our computers and networks into the real world.

This world-size robot is actually more than the Internet of Things. It’s a combination of several decades-old computing trends: mobile computing, cloud computing, always-on computing, huge databases of personal information, the Internet of Things ­- or, more precisely, cyber-physical systems ­- autonomy, and artificial intelligence. And while it’s still not very smart, it’ll get smarter. It’ll get more powerful and more capable through all the interconnections we’re building.

It’ll also get much more dangerous.

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Computer security has been around for almost as long as computers have been. And while it’s true that security wasn’t part of the design of the original internet, it’s something we have been trying to achieve since its beginning.

I have been working in computer security for over 30 years: first in cryptography, then more generally in computer and network security, and now in general security technology. I have watched computers become ubiquitous, and have seen firsthand the problems ­- and solutions ­- of securing these complex machines and systems. I’m telling you all this because what used to be a specialized area of expertise now affects everything. Computer security is now everything security. There’s one critical difference, though: The threats have become greater.

Traditionally, computer security is divided into three categories: confidentiality, integrity, and availability. For the most part, our security concerns have largely centered around confidentiality. We’re concerned about our data and who has access to it ­- the world of privacy and surveillance, of data theft and misuse.

But threats come in many forms. Availability threats: computer viruses that delete our data, or ransomware that encrypts our data and demands payment for the unlock key. Integrity threats: hackers who can manipulate data entries can do things ranging from changing grades in a class to changing the amount of money in bank accounts. Some of these threats are pretty bad. Hospitals have paid tens of thousands of dollars to criminals whose ransomware encrypted critical medical files. JPMorgan Chase spends half a billion on cybersecurity a year.

Today, the integrity and availability threats are much worse than the confidentiality threats. Once computers start affecting the world in a direct and physical manner, there are real risks to life and property. There is a fundamental difference between crashing your computer and losing your spreadsheet data, and crashing your pacemaker and losing your life. This isn’t hyperbole; recently researchers found serious security vulnerabilities in St. Jude Medical’s implantable heart devices. Give the internet hands and feet, and it will have the ability to punch and kick.

Take a concrete example: modern cars, those computers on wheels. The steering wheel no longer turns the axles, nor does the accelerator pedal change the speed. Every move you make in a car is processed by a computer, which does the actual controlling. A central computer controls the dashboard. There’s another in the radio. The engine has 20 or so computers. These are all networked, and increasingly autonomous.

Now, let’s start listing the security threats. We don’t want car navigation systems to be used for mass surveillance, or the microphone for mass eavesdropping. We might want it to be used to determine a car’s location in the event of a 911 call, and possibly to collect information about highway congestion. We don’t want people to hack their own cars to bypass emissions-control limitations. We don’t want manufacturers or dealers to be able to do that, either, as Volkswagen did for years. We can imagine wanting to give police the ability to remotely and safely disable a moving car; that would make high-speed chases a thing of the past. But we definitely don’t want hackers to be able to do that. We definitely don’t want them disabling the brakes in every car without warning, at speed. As we make the transition from driver-controlled cars to cars with various driver-assist capabilities to fully driverless cars, we don’t want any of those critical components subverted. We don’t want someone to be able to accidentally crash your car, let alone do it on purpose. And equally, we don’t want them to be able to manipulate the navigation software to change your route, or the door-lock controls to prevent you from opening the door. I could go on.

That’s a lot of different security requirements, and the effects of getting them wrong range from illegal surveillance to extortion by ransomware to mass death.

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Our computers and smartphones are as secure as they are because companies like Microsoft, Apple, and Google spend a lot of time testing their code before it’s released, and quickly patch vulnerabilities when they’re discovered. Those companies can support large, dedicated teams because those companies make a huge amount of money, either directly or indirectly, from their software ­ and, in part, compete on its security. Unfortunately, this isn’t true of embedded systems like digital video recorders or home routers. Those systems are sold at a much lower margin, and are often built by offshore third parties. The companies involved simply don’t have the expertise to make them secure.

At a recent hacker conference, a security researcher analyzed 30 home routers and was able to break into half of them, including some of the most popular and common brands. The denial-of-service attacks that forced popular websites like Reddit and Twitter off the internet last October were enabled by vulnerabilities in devices like webcams and digital video recorders. In August, two security researchers demonstrated a ransomware attack on a smart thermostat.

Even worse, most of these devices don’t have any way to be patched. Companies like Microsoft and Apple continuously deliver security patches to your computers. Some home routers are technically patchable, but in a complicated way that only an expert would attempt. And the only way for you to update the firmware in your hackable DVR is to throw it away and buy a new one.

The market can’t fix this because neither the buyer nor the seller cares. The owners of the webcams and DVRs used in the denial-of-service attacks don’t care. Their devices were cheap to buy, they still work, and they don’t know any of the victims of the attacks. The sellers of those devices don’t care: They’re now selling newer and better models, and the original buyers only cared about price and features. There is no market solution, because the insecurity is what economists call an externality: It’s an effect of the purchasing decision that affects other people. Think of it kind of like invisible pollution.

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Security is an arms race between attacker and defender. Technology perturbs that arms race by changing the balance between attacker and defender. Understanding how this arms race has unfolded on the internet is essential to understanding why the world-size robot we’re building is so insecure, and how we might secure it. To that end, I have five truisms, born from what we’ve already learned about computer and internet security. They will soon affect the security arms race everywhere.

Truism No. 1: On the internet, attack is easier than defense.

There are many reasons for this, but the most important is the complexity of these systems. More complexity means more people involved, more parts, more interactions, more mistakes in the design and development process, more of everything where hidden insecurities can be found. Computer-security experts like to speak about the attack surface of a system: all the possible points an attacker might target and that must be secured. A complex system means a large attack surface. The defender has to secure the entire attack surface. The attacker just has to find one vulnerability ­- one unsecured avenue for attack -­ and gets to choose how and when to attack. It’s simply not a fair battle.

There are other, more general, reasons why attack is easier than defense. Attackers have a natural agility that defenders often lack. They don’t have to worry about laws, and often not about morals or ethics. They don’t have a bureaucracy to contend with, and can more quickly make use of technical innovations. Attackers also have a first-mover advantage. As a society, we’re generally terrible at proactive security; we rarely take preventive security measures until an attack actually happens. So more advantages go to the attacker.

Truism No. 2: Most software is poorly written and insecure.

If complexity isn’t enough, we compound the problem by producing lousy software. Well-written software, like the kind found in airplane avionics, is both expensive and time-consuming to produce. We don’t want that. For the most part, poorly written software has been good enough. We’d all rather live with buggy software than pay the prices good software would require. We don’t mind if our games crash regularly, or our business applications act weird once in a while. Because software has been largely benign, it hasn’t mattered. This has permeated the industry at all levels. At universities, we don’t teach how to code well. Companies don’t reward quality code in the same way they reward fast and cheap. And we consumers don’t demand it.

But poorly written software is riddled with bugs, sometimes as many as one per 1,000 lines of code. Some of them are inherent in the complexity of the software, but most are programming mistakes. Not all bugs are vulnerabilities, but some are.

Truism No. 3: Connecting everything to each other via the internet will expose new vulnerabilities.

The more we network things together, the more vulnerabilities on one thing will affect other things. On October 21, vulnerabilities in a wide variety of embedded devices were all harnessed together to create what hackers call a botnet. This botnet was used to launch a distributed denial-of-service attack against a company called Dyn. Dyn provided a critical internet function for many major internet sites. So when Dyn went down, so did all those popular websites.

These chains of vulnerabilities are everywhere. In 2012, journalist Mat Honan suffered a massive personal hack because of one of them. A vulnerability in his Amazon account allowed hackers to get into his Apple account, which allowed them to get into his Gmail account. And in 2013, the Target Corporation was hacked by someone stealing credentials from its HVAC contractor.

Vulnerabilities like these are particularly hard to fix, because no one system might actually be at fault. It might be the insecure interaction of two individually secure systems.

Truism No. 4: Everybody has to stop the best attackers in the world.

One of the most powerful properties of the internet is that it allows things to scale. This is true for our ability to access data or control systems or do any of the cool things we use the internet for, but it’s also true for attacks. In general, fewer attackers can do more damage because of better technology. It’s not just that these modern attackers are more efficient, it’s that the internet allows attacks to scale to a degree impossible without computers and networks.

This is fundamentally different from what we’re used to. When securing my home against burglars, I am only worried about the burglars who live close enough to my home to consider robbing me. The internet is different. When I think about the security of my network, I have to be concerned about the best attacker possible, because he’s the one who’s going to create the attack tool that everyone else will use. The attacker that discovered the vulnerability used to attack Dyn released the code to the world, and within a week there were a dozen attack tools using it.

Truism No. 5: Laws inhibit security research.

The Digital Millennium Copyright Act is a terrible law that fails at its purpose of preventing widespread piracy of movies and music. To make matters worse, it contains a provision that has critical side effects. According to the law, it is a crime to bypass security mechanisms that protect copyrighted work, even if that bypassing would otherwise be legal. Since all software can be copyrighted, it is arguably illegal to do security research on these devices and to publish the result.

Although the exact contours of the law are arguable, many companies are using this provision of the DMCA to threaten researchers who expose vulnerabilities in their embedded systems. This instills fear in researchers, and has a chilling effect on research, which means two things: (1) Vendors of these devices are more likely to leave them insecure, because no one will notice and they won’t be penalized in the market, and (2) security engineers don’t learn how to do security better.
Unfortunately, companies generally like the DMCA. The provisions against reverse-engineering spare them the embarrassment of having their shoddy security exposed. It also allows them to build proprietary systems that lock out competition. (This is an important one. Right now, your toaster cannot force you to only buy a particular brand of bread. But because of this law and an embedded computer, your Keurig coffee maker can force you to buy a particular brand of coffee.)

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In general, there are two basic paradigms of security. We can either try to secure something well the first time, or we can make our security agile. The first paradigm comes from the world of dangerous things: from planes, medical devices, buildings. It’s the paradigm that gives us secure design and secure engineering, security testing and certifications, professional licensing, detailed preplanning and complex government approvals, and long times-to-market. It’s security for a world where getting it right is paramount because getting it wrong means people dying.

The second paradigm comes from the fast-moving and heretofore largely benign world of software. In this paradigm, we have rapid prototyping, on-the-fly updates, and continual improvement. In this paradigm, new vulnerabilities are discovered all the time and security disasters regularly happen. Here, we stress survivability, recoverability, mitigation, adaptability, and muddling through. This is security for a world where getting it wrong is okay, as long as you can respond fast enough.

These two worlds are colliding. They’re colliding in our cars -­ literally -­ in our medical devices, our building control systems, our traffic control systems, and our voting machines. And although these paradigms are wildly different and largely incompatible, we need to figure out how to make them work together.

So far, we haven’t done very well. We still largely rely on the first paradigm for the dangerous computers in cars, airplanes, and medical devices. As a result, there are medical systems that can’t have security patches installed because that would invalidate their government approval. In 2015, Chrysler recalled 1.4 million cars to fix a software vulnerability. In September 2016, Tesla remotely sent a security patch to all of its Model S cars overnight. Tesla sure sounds like it’s doing things right, but what vulnerabilities does this remote patch feature open up?

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Until now we’ve largely left computer security to the market. Because the computer and network products we buy and use are so lousy, an enormous after-market industry in computer security has emerged. Governments, companies, and people buy the security they think they need to secure themselves. We’ve muddled through well enough, but the market failures inherent in trying to secure this world-size robot will soon become too big to ignore.

Markets alone can’t solve our security problems. Markets are motivated by profit and short-term goals at the expense of society. They can’t solve collective-action problems. They won’t be able to deal with economic externalities, like the vulnerabilities in DVRs that resulted in Twitter going offline. And we need a counterbalancing force to corporate power.

This all points to policy. While the details of any computer-security system are technical, getting the technologies broadly deployed is a problem that spans law, economics, psychology, and sociology. And getting the policy right is just as important as getting the technology right because, for internet security to work, law and technology have to work together. This is probably the most important lesson of Edward Snowden’s NSA disclosures. We already knew that technology can subvert law. Snowden demonstrated that law can also subvert technology. Both fail unless each work. It’s not enough to just let technology do its thing.

Any policy changes to secure this world-size robot will mean significant government regulation. I know it’s a sullied concept in today’s world, but I don’t see any other possible solution. It’s going to be especially difficult on the internet, where its permissionless nature is one of the best things about it and the underpinning of its most world-changing innovations. But I don’t see how that can continue when the internet can affect the world in a direct and physical manner.

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I have a proposal: a new government regulatory agency. Before dismissing it out of hand, please hear me out.

We have a practical problem when it comes to internet regulation. There’s no government structure to tackle this at a systemic level. Instead, there’s a fundamental mismatch between the way government works and the way this technology works that makes dealing with this problem impossible at the moment.

Government operates in silos. In the U.S., the FAA regulates aircraft. The NHTSA regulates cars. The FDA regulates medical devices. The FCC regulates communications devices. The FTC protects consumers in the face of “unfair” or “deceptive” trade practices. Even worse, who regulates data can depend on how it is used. If data is used to influence a voter, it’s the Federal Election Commission’s jurisdiction. If that same data is used to influence a consumer, it’s the FTC’s. Use those same technologies in a school, and the Department of Education is now in charge. Robotics will have its own set of problems, and no one is sure how that is going to be regulated. Each agency has a different approach and different rules. They have no expertise in these new issues, and they are not quick to expand their authority for all sorts of reasons.

Compare that with the internet. The internet is a freewheeling system of integrated objects and networks. It grows horizontally, demolishing old technological barriers so that people and systems that never previously communicated now can. Already, apps on a smartphone can log health information, control your energy use, and communicate with your car. That’s a set of functions that crosses jurisdictions of at least four different government agencies, and it’s only going to get worse.

Our world-size robot needs to be viewed as a single entity with millions of components interacting with each other. Any solutions here need to be holistic. They need to work everywhere, for everything. Whether we’re talking about cars, drones, or phones, they’re all computers.

This has lots of precedent. Many new technologies have led to the formation of new government regulatory agencies. Trains did, cars did, airplanes did. Radio led to the formation of the Federal Radio Commission, which became the FCC. Nuclear power led to the formation of the Atomic Energy Commission, which eventually became the Department of Energy. The reasons were the same in every case. New technologies need new expertise because they bring with them new challenges. Governments need a single agency to house that new expertise, because its applications cut across several preexisting agencies. It’s less that the new agency needs to regulate -­ although that’s often a big part of it -­ and more that governments recognize the importance of the new technologies.

The internet has famously eschewed formal regulation, instead adopting a multi-stakeholder model of academics, businesses, governments, and other interested parties. My hope is that we can keep the best of this approach in any regulatory agency, looking more at the new U.S. Digital Service or the 18F office inside the General Services Administration. Both of those organizations are dedicated to providing digital government services, and both have collected significant expertise by bringing people in from outside of government, and both have learned how to work closely with existing agencies. Any internet regulatory agency will similarly need to engage in a high level of collaborate regulation -­ both a challenge and an opportunity.

I don’t think any of us can predict the totality of the regulations we need to ensure the safety of this world, but here’s a few. We need government to ensure companies follow good security practices: testing, patching, secure defaults -­ and we need to be able to hold companies liable when they fail to do these things. We need government to mandate strong personal data protections, and limitations on data collection and use. We need to ensure that responsible security research is legal and well-funded. We need to enforce transparency in design, some sort of code escrow in case a company goes out of business, and interoperability between devices of different manufacturers, to counterbalance the monopolistic effects of interconnected technologies. Individuals need the right to take their data with them. And internet-enabled devices should retain some minimal functionality if disconnected from the internet.

I’m not the only one talking about this. I’ve seen proposals for a National Institutes of Health analogue for cybersecurity. University of Washington law professor Ryan Calo has proposed a Federal Robotics Commission. I think it needs to be broader: maybe a Department of Technology Policy.

Of course there will be problems. There’s a lack of expertise in these issues inside government. There’s a lack of willingness in government to do the hard regulatory work. Industry is worried about any new bureaucracy: both that it will stifle innovation by regulating too much and that it will be captured by industry and regulate too little. A domestic regulatory agency will have to deal with the fundamentally international nature of the problem.

But government is the entity we use to solve problems like this. Governments have the scope, scale, and balance of interests to address the problems. It’s the institution we’ve built to adjudicate competing social interests and internalize market externalities. Left to their own devices, the market simply can’t. That we’re currently in the middle of an era of low government trust, where many of us can’t imagine government doing anything positive in an area like this, is to our detriment.

Here’s the thing: Governments will get involved, regardless. The risks are too great, and the stakes are too high. Government already regulates dangerous physical systems like cars and medical devices. And nothing motivates the U.S. government like fear. Remember 2001? A nominally small-government Republican president created the Office of Homeland Security 11 days after the terrorist attacks: a rushed and ill-thought-out decision that we’ve been trying to fix for over a decade. A fatal disaster will similarly spur our government into action, and it’s unlikely to be well-considered and thoughtful action. Our choice isn’t between government involvement and no government involvement. Our choice is between smarter government involvement and stupider government involvement. We have to start thinking about this now. Regulations are necessary, important, and complex; and they’re coming. We can’t afford to ignore these issues until it’s too late.

We also need to start disconnecting systems. If we cannot secure complex systems to the level required by their real-world capabilities, then we must not build a world where everything is computerized and interconnected.

There are other models. We can enable local communications only. We can set limits on collected and stored data. We can deliberately design systems that don’t interoperate with each other. We can deliberately fetter devices, reversing the current trend of turning everything into a general-purpose computer. And, most important, we can move toward less centralization and more distributed systems, which is how the internet was first envisioned.

This might be a heresy in today’s race to network everything, but large, centralized systems are not inevitable. The technical elites are pushing us in that direction, but they really don’t have any good supporting arguments other than the profits of their ever-growing multinational corporations.

But this will change. It will change not only because of security concerns, it will also change because of political concerns. We’re starting to chafe under the worldview of everything producing data about us and what we do, and that data being available to both governments and corporations. Surveillance capitalism won’t be the business model of the internet forever. We need to change the fabric of the internet so that evil governments don’t have the tools to create a horrific totalitarian state. And while good laws and regulations in Western democracies are a great second line of defense, they can’t be our only line of defense.

My guess is that we will soon reach a high-water mark of computerization and connectivity, and that afterward we will make conscious decisions about what and how we decide to interconnect. But we’re still in the honeymoon phase of connectivity. Governments and corporations are punch-drunk on our data, and the rush to connect everything is driven by an even greater desire for power and market share. One of the presentations released by Edward Snowden contained the NSA mantra: “Collect it all.” A similar mantra for the internet today might be: “Connect it all.”

The inevitable backlash will not be driven by the market. It will be deliberate policy decisions that put the safety and welfare of society above individual corporations and industries. It will be deliberate policy decisions that prioritize the security of our systems over the demands of the FBI to weaken them in order to make their law-enforcement jobs easier. It’ll be hard policy for many to swallow, but our safety will depend on it.

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The scenarios I’ve outlined, both the technological and economic trends that are causing them and the political changes we need to make to start to fix them, come from my years of working in internet-security technology and policy. All of this is informed by an understanding of both technology and policy. That turns out to be critical, and there aren’t enough people who understand both.

This brings me to my final plea: We need more public-interest technologists.

Over the past couple of decades, we’ve seen examples of getting internet-security policy badly wrong. I’m thinking of the FBI’s “going dark” debate about its insistence that computer devices be designed to facilitate government access, the “vulnerability equities process” about when the government should disclose and fix a vulnerability versus when it should use it to attack other systems, the debacle over paperless touch-screen voting machines, and the DMCA that I discussed above. If you watched any of these policy debates unfold, you saw policy-makers and technologists talking past each other.

Our world-size robot will exacerbate these problems. The historical divide between Washington and Silicon Valley -­ the mistrust of governments by tech companies and the mistrust of tech companies by governments ­- is dangerous.

We have to fix this. Getting IoT security right depends on the two sides working together and, even more important, having people who are experts in each working on both. We need technologists to get involved in policy, and we need policy-makers to get involved in technology. We need people who are experts in making both technology and technological policy. We need technologists on congressional staffs, inside federal agencies, working for NGOs, and as part of the press. We need to create a viable career path for public-interest technologists, much as there already is one for public-interest attorneys. We need courses, and degree programs in colleges, for people interested in careers in public-interest technology. We need fellowships in organizations that need these people. We need technology companies to offer sabbaticals for technologists wanting to go down this path. We need an entire ecosystem that supports people bridging the gap between technology and law. We need a viable career path that ensures that even though people in this field won’t make as much as they would in a high-tech start-up, they will have viable careers. The security of our computerized and networked future ­ meaning the security of ourselves, families, homes, businesses, and communities ­ depends on it.

This plea is bigger than security, actually. Pretty much all of the major policy debates of this century will have a major technological component. Whether it’s weapons of mass destruction, robots drastically affecting employment, climate change, food safety, or the increasing ubiquity of ever-shrinking drones, understanding the policy means understanding the technology. Our society desperately needs technologists working on the policy. The alternative is bad policy.

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The world-size robot is less designed than created. It’s coming without any forethought or architecting or planning; most of us are completely unaware of what we’re building. In fact, I am not convinced we can actually design any of this. When we try to design complex sociotechnical systems like this, we are regularly surprised by their emergent properties. The best we can do is observe and channel these properties as best we can.

Market thinking sometimes makes us lose sight of the human choices and autonomy at stake. Before we get controlled ­ or killed ­ by the world-size robot, we need to rebuild confidence in our collective governance institutions. Law and policy may not seem as cool as digital tech, but they’re also places of critical innovation. They’re where we collectively bring about the world we want to live in.

While I might sound like a Cassandra, I’m actually optimistic about our future. Our society has tackled bigger problems than this one. It takes work and it’s not easy, but we eventually find our way clear to make the hard choices necessary to solve our real problems.

The world-size robot we’re building can only be managed responsibly if we start making real choices about the interconnected world we live in. Yes, we need security systems as robust as the threat landscape. But we also need laws that effectively regulate these dangerous technologies. And, more generally, we need to make moral, ethical, and political decisions on how those systems should work. Until now, we’ve largely left the internet alone. We gave programmers a special right to code cyberspace as they saw fit. This was okay because cyberspace was separate and relatively unimportant: That is, it didn’t matter. Now that that’s changed, we can no longer give programmers and the companies they work for this power. Those moral, ethical, and political decisions need, somehow, to be made by everybody. We need to link people with the same zeal that we are currently linking machines. “Connect it all” must be countered with “connect us all.”

This essay previously appeared in New York Magazine.

Posted on February 1, 2017 at 8:05 AMView Comments

Regulation of the Internet of Things

Late last month, popular websites like Twitter, Pinterest, Reddit and PayPal went down for most of a day. The distributed denial-of-service attack that caused the outages, and the vulnerabilities that made the attack possible, was as much a failure of market and policy as it was of technology. If we want to secure our increasingly computerized and connected world, we need more government involvement in the security of the “Internet of Things” and increased regulation of what are now critical and life-threatening technologies. It’s no longer a question of if, it’s a question of when.

First, the facts. Those websites went down because their domain name provider — a company named Dyn —­ was forced offline. We don’t know who perpetrated that attack, but it could have easily been a lone hacker. Whoever it was launched a distributed denial-of-service attack against Dyn by exploiting a vulnerability in large numbers ­— possibly millions — of Internet-of-Things devices like webcams and digital video recorders, then recruiting them all into a single botnet. The botnet bombarded Dyn with traffic, so much that it went down. And when it went down, so did dozens of websites.

Your security on the Internet depends on the security of millions of Internet-enabled devices, designed and sold by companies you’ve never heard of to consumers who don’t care about your security.

The technical reason these devices are insecure is complicated, but there is a market failure at work. The Internet of Things is bringing computerization and connectivity to many tens of millions of devices worldwide. These devices will affect every aspect of our lives, because they’re things like cars, home appliances, thermostats, light bulbs, fitness trackers, medical devices, smart streetlights and sidewalk squares. Many of these devices are low-cost, designed and built offshore, then rebranded and resold. The teams building these devices don’t have the security expertise we’ve come to expect from the major computer and smartphone manufacturers, simply because the market won’t stand for the additional costs that would require. These devices don’t get security updates like our more expensive computers, and many don’t even have a way to be patched. And, unlike our computers and phones, they stay around for years and decades.

An additional market failure illustrated by the Dyn attack is that neither the seller nor the buyer of those devices cares about fixing the vulnerability. The owners of those devices don’t care. They wanted a webcam —­ or thermostat, or refrigerator ­— with nice features at a good price. Even after they were recruited into this botnet, they still work fine ­— you can’t even tell they were used in the attack. The sellers of those devices don’t care: They’ve already moved on to selling newer and better models. There is no market solution because the insecurity primarily affects other people. It’s a form of invisible pollution.

And, like pollution, the only solution is to regulate. The government could impose minimum security standards on IoT manufacturers, forcing them to make their devices secure even though their customers don’t care. They could impose liabilities on manufacturers, allowing companies like Dyn to sue them if their devices are used in DDoS attacks. The details would need to be carefully scoped, but either of these options would raise the cost of insecurity and give companies incentives to spend money making their devices secure.

It’s true that this is a domestic solution to an international problem and that there’s no U.S. regulation that will affect, say, an Asian-made product sold in South America, even though that product could still be used to take down U.S. websites. But the main costs in making software come from development. If the United States and perhaps a few other major markets implement strong Internet-security regulations on IoT devices, manufacturers will be forced to upgrade their security if they want to sell to those markets. And any improvements they make in their software will be available in their products wherever they are sold, simply because it makes no sense to maintain two different versions of the software. This is truly an area where the actions of a few countries can drive worldwide change.

Regardless of what you think about regulation vs. market solutions, I believe there is no choice. Governments will get involved in the IoT, because the risks are too great and the stakes are too high. Computers are now able to affect our world in a direct and physical manner.

Security researchers have demonstrated the ability to remotely take control of Internet-enabled cars. They’ve demonstrated ransomware against home thermostats and exposed vulnerabilities in implanted medical devices. They’ve hacked voting machines and power plants. In one recent paper, researchers showed how a vulnerability in smart light bulbs could be used to start a chain reaction, resulting in them all being controlled by the attackers ­— that’s every one in a city. Security flaws in these things could mean people dying and property being destroyed.

Nothing motivates the U.S. government like fear. Remember 2001? A small-government Republican president created the Department of Homeland Security in the wake of the 9/11 terrorist attacks: a rushed and ill-thought-out decision that we’ve been trying to fix for more than a decade. A fatal IoT disaster will similarly spur our government into action, and it’s unlikely to be well-considered and thoughtful action. Our choice isn’t between government involvement and no government involvement. Our choice is between smarter government involvement and stupider government involvement. We have to start thinking about this now. Regulations are necessary, important and complex ­— and they’re coming. We can’t afford to ignore these issues until it’s too late.

In general, the software market demands that products be fast and cheap and that security be a secondary consideration. That was okay when software didn’t matter —­ it was okay that your spreadsheet crashed once in a while. But a software bug that literally crashes your car is another thing altogether. The security vulnerabilities in the Internet of Things are deep and pervasive, and they won’t get fixed if the market is left to sort it out for itself. We need to proactively discuss good regulatory solutions; otherwise, a disaster will impose bad ones on us.

This essay previously appeared in the Washington Post.

Posted on November 10, 2016 at 6:06 AMView Comments

Lessons From the Dyn DDoS Attack

A week ago Friday, someone took down numerous popular websites in a massive distributed denial-of-service (DDoS) attack against the domain name provider Dyn. DDoS attacks are neither new nor sophisticated. The attacker sends a massive amount of traffic, causing the victim’s system to slow to a crawl and eventually crash. There are more or less clever variants, but basically, it’s a datapipe-size battle between attacker and victim. If the defender has a larger capacity to receive and process data, he or she will win. If the attacker can throw more data than the victim can process, he or she will win.

The attacker can build a giant data cannon, but that’s expensive. It is much smarter to recruit millions of innocent computers on the internet. This is the “distributed” part of the DDoS attack, and pretty much how it’s worked for decades. Cybercriminals infect innocent computers around the internet and recruit them into a botnet. They then target that botnet against a single victim.

You can imagine how it might work in the real world. If I can trick tens of thousands of others to order pizzas to be delivered to your house at the same time, I can clog up your street and prevent any legitimate traffic from getting through. If I can trick many millions, I might be able to crush your house from the weight. That’s a DDoS attack ­ it’s simple brute force.

As you’d expect, DDoSers have various motives. The attacks started out as a way to show off, then quickly transitioned to a method of intimidation ­ or a way of just getting back at someone you didn’t like. More recently, they’ve become vehicles of protest. In 2013, the hacker group Anonymous petitioned the White House to recognize DDoS attacks as a legitimate form of protest. Criminals have used these attacks as a means of extortion, although one group found that just the fear of attack was enough. Military agencies are also thinking about DDoS as a tool in their cyberwar arsenals. A 2007 DDoS attack against Estonia was blamed on Russia and widely called an act of cyberwar.

The DDoS attack against Dyn two weeks ago was nothing new, but it illustrated several important trends in computer security.

These attack techniques are broadly available. Fully capable DDoS attack tools are available for free download. Criminal groups offer DDoS services for hire. The particular attack technique used against Dyn was first used a month earlier. It’s called Mirai, and since the source code was released four weeks ago, over a dozen botnets have incorporated the code.

The Dyn attacks were probably not originated by a government. The perpetrators were most likely hackers mad at Dyn for helping Brian Krebs identify ­ and the FBI arrest ­ two Israeli hackers who were running a DDoS-for-hire ring. Recently I have written about probing DDoS attacks against internet infrastructure companies that appear to be perpetrated by a nation-state. But, honestly, we don’t know for sure.

This is important. Software spreads capabilities. The smartest attacker needs to figure out the attack and write the software. After that, anyone can use it. There’s not even much of a difference between government and criminal attacks. In December 2014, there was a legitimate debate in the security community as to whether the massive attack against Sony had been perpetrated by a nation-state with a $20 billion military budget or a couple of guys in a basement somewhere. The internet is the only place where we can’t tell the difference. Everyone uses the same tools, the same techniques and the same tactics.

These attacks are getting larger. The Dyn DDoS attack set a record at 1.2 Tbps. The previous record holder was the attack against cybersecurity journalist Brian Krebs a month prior at 620 Gbps. This is much larger than required to knock the typical website offline. A year ago, it was unheard of. Now it occurs regularly.

The botnets attacking Dyn and Brian Krebs consisted largely of unsecure Internet of Things (IoT) devices ­ webcams, digital video recorders, routers and so on. This isn’t new, either. We’ve already seen internet-enabled refrigerators and TVs used in DDoS botnets. But again, the scale is bigger now. In 2014, the news was hundreds of thousands of IoT devices ­ the Dyn attack used millions. Analysts expect the IoT to increase the number of things on the internet by a factor of 10 or more. Expect these attacks to similarly increase.

The problem is that these IoT devices are unsecure and likely to remain that way. The economics of internet security don’t trickle down to the IoT. Commenting on the Krebs attack last month, I wrote:

The market can’t fix this because neither the buyer nor the seller cares. Think of all the CCTV cameras and DVRs used in the attack against Brian Krebs. The owners of those devices don’t care. Their devices were cheap to buy, they still work, and they don’t even know Brian. The sellers of those devices don’t care: They’re now selling newer and better models, and the original buyers only cared about price and features. There is no market solution because the insecurity is what economists call an externality: It’s an effect of the purchasing decision that affects other people. Think of it kind of like invisible pollution.

To be fair, one company that made some of the unsecure things used in these attacks recalled its unsecure webcams. But this is more of a publicity stunt than anything else. I would be surprised if the company got many devices back. We already know that the reputational damage from having your unsecure software made public isn’t large and doesn’t last. At this point, the market still largely rewards sacrificing security in favor of price and time-to-market.

DDoS prevention works best deep in the network, where the pipes are the largest and the capability to identify and block the attacks is the most evident. But the backbone providers have no incentive to do this. They don’t feel the pain when the attacks occur and they have no way of billing for the service when they provide it. So they let the attacks through and force the victims to defend themselves. In many ways, this is similar to the spam problem. It, too, is best dealt with in the backbone, but similar economics dump the problem onto the endpoints.

We’re unlikely to get any regulation forcing backbone companies to clean up either DDoS attacks or spam, just as we are unlikely to get any regulations forcing IoT manufacturers to make their systems secure. This is me again:

What this all means is that the IoT will remain insecure unless government steps in and fixes the problem. When we have market failures, government is the only solution. The government could impose security regulations on IoT manufacturers, forcing them to make their devices secure even though their customers don’t care. They could impose liabilities on manufacturers, allowing people like Brian Krebs to sue them. Any of these would raise the cost of insecurity and give companies incentives to spend money making their devices secure.

That leaves the victims to pay. This is where we are in much of computer security. Because the hardware, software and networks we use are so unsecure, we have to pay an entire industry to provide after-the-fact security.

There are solutions you can buy. Many companies offer DDoS protection, although they’re generally calibrated to the older, smaller attacks. We can safely assume that they’ll up their offerings, although the cost might be prohibitive for many users. Understand your risks. Buy mitigation if you need it, but understand its limitations. Know the attacks are possible and will succeed if large enough. And the attacks are getting larger all the time. Prepare for that.

This essay previously appeared on the SecurityIntelligence website.

Posted on November 8, 2016 at 6:25 AMView Comments

Security Economics of the Internet of Things

Brian Krebs is a popular reporter on the cybersecurity beat. He regularly exposes cybercriminals and their tactics, and consequently is regularly a target of their ire. Last month, he wrote about an online attack-for-hire service that resulted in the arrest of the two proprietors. In the aftermath, his site was taken down by a massive DDoS attack.

In many ways, this is nothing new. Distributed denial-of-service attacks are a family of attacks that cause websites and other Internet-connected systems to crash by overloading them with traffic. The “distributed” part means that other insecure computers on the Internet — sometimes in the millions­ — are recruited to a botnet to unwittingly participate in the attack. The tactics are decades old; DDoS attacks are perpetrated by lone hackers trying to be annoying, criminals trying to extort money, and governments testing their tactics. There are defenses, and there are companies that offer DDoS mitigation services for hire.

Basically, it’s a size vs. size game. If the attackers can cobble together a fire hose of data bigger than the defender’s capability to cope with, they win. If the defenders can increase their capability in the face of attack, they win.

What was new about the Krebs attack was both the massive scale and the particular devices the attackers recruited. Instead of using traditional computers for their botnet, they used CCTV cameras, digital video recorders, home routers, and other embedded computers attached to the Internet as part of the Internet of Things.

Much has been written about how the IoT is wildly insecure. In fact, the software used to attack Krebs was simple and amateurish. What this attack demonstrates is that the economics of the IoT mean that it will remain insecure unless government steps in to fix the problem. This is a market failure that can’t get fixed on its own.

Our computers and smartphones are as secure as they are because there are teams of security engineers working on the problem. Companies like Microsoft, Apple, and Google spend a lot of time testing their code before it’s released, and quickly patch vulnerabilities when they’re discovered. Those companies can support such teams because those companies make a huge amount of money, either directly or indirectly, from their software­ — and, in part, compete on its security. This isn’t true of embedded systems like digital video recorders or home routers. Those systems are sold at a much lower margin, and are often built by offshore third parties. The companies involved simply don’t have the expertise to make them secure.

Even worse, most of these devices don’t have any way to be patched. Even though the source code to the botnet that attacked Krebs has been made public, we can’t update the affected devices. Microsoft delivers security patches to your computer once a month. Apple does it just as regularly, but not on a fixed schedule. But the only way for you to update the firmware in your home router is to throw it away and buy a new one.

The security of our computers and phones also comes from the fact that we replace them regularly. We buy new laptops every few years. We get new phones even more frequently. This isn’t true for all of the embedded IoT systems. They last for years, even decades. We might buy a new DVR every five or ten years. We replace our refrigerator every 25 years. We replace our thermostat approximately never. Already the banking industry is dealing with the security problems of Windows 95 embedded in ATMs. This same problem is going to occur all over the Internet of Things.

The market can’t fix this because neither the buyer nor the seller cares. Think of all the CCTV cameras and DVRs used in the attack against Brian Krebs. The owners of those devices don’t care. Their devices were cheap to buy, they still work, and they don’t even know Brian. The sellers of those devices don’t care: they’re now selling newer and better models, and the original buyers only cared about price and features. There is no market solution because the insecurity is what economists call an externality: it’s an effect of the purchasing decision that affects other people. Think of it kind of like invisible pollution.

What this all means is that the IoT will remain insecure unless government steps in and fixes the problem. When we have market failures, government is the only solution. The government could impose security regulations on IoT manufacturers, forcing them to make their devices secure even though their customers don’t care. They could impose liabilities on manufacturers, allowing people like Brian Krebs to sue them. Any of these would raise the cost of insecurity and give companies incentives to spend money making their devices secure.

Of course, this would only be a domestic solution to an international problem. The Internet is global, and attackers can just as easily build a botnet out of IoT devices from Asia as from the United States. Long term, we need to build an Internet that is resilient against attacks like this. But that’s a long time coming. In the meantime, you can expect more attacks that leverage insecure IoT devices.

This essay previously appeared on Vice Motherboard.

Slashdot thread.

Here are some of the things that are vulnerable.

EDITED TO ADD (10/17: DARPA is looking for IoT-security ideas from the private sector.

Posted on October 10, 2016 at 10:26 AMView Comments

Sidebar photo of Bruce Schneier by Joe MacInnis.