Entries Tagged "medicine"

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Surveillance and the Internet of Things

The Internet has turned into a massive surveillance tool. We’re constantly monitored on the Internet by hundreds of companies—both familiar and unfamiliar. Everything we do there is recorded, collected, and collated—sometimes by corporations wanting to sell us stuff and sometimes by governments wanting to keep an eye on us.

Ephemeral conversation is over. Wholesale surveillance is the norm. Maintaining privacy from these powerful entities is basically impossible, and any illusion of privacy we maintain is based either on ignorance or on our unwillingness to accept what’s really going on.

It’s about to get worse, though. Companies such as Google may know more about your personal interests than your spouse, but so far it’s been limited by the fact that these companies only see computer data. And even though your computer habits are increasingly being linked to your offline behavior, it’s still only behavior that involves computers.

The Internet of Things refers to a world where much more than our computers and cell phones is Internet-enabled. Soon there will be Internet-connected modules on our cars and home appliances. Internet-enabled medical devices will collect real-time health data about us. There’ll be Internet-connected tags on our clothing. In its extreme, everything can be connected to the Internet. It’s really just a matter of time, as these self-powered wireless-enabled computers become smaller and cheaper.

Lots has been written about theInternet of Things” and how it will change society for the better. It’s true that it will make a lot of wonderful things possible, but the “Internet of Things” will also allow for an even greater amount of surveillance than there is today. The Internet of Things gives the governments and corporations that follow our every move something they don’t yet have: eyes and ears.

Soon everything we do, both online and offline, will be recorded and stored forever. The only question remaining is who will have access to all of this information, and under what rules.

We’re seeing an initial glimmer of this from how location sensors on your mobile phone are being used to track you. Of course your cell provider needs to know where you are; it can’t route your phone calls to your phone otherwise. But most of us broadcast our location information to many other companies whose apps we’ve installed on our phone. Google Maps certainly, but also a surprising number of app vendors who collect that information. It can be used to determine where you live, where you work, and who you spend time with.

Another early adopter was Nike, whose Nike+ shoes communicate with your iPod or iPhone and track your exercising. More generally, medical devices are starting to be Internet-enabled, collecting and reporting a variety of health data. Wiring appliances to the Internet is one of the pillars of the smart electric grid. Yes, there are huge potential savings associated with the smart grid, but it will also allow power companies – and anyone they decide to sell the data to—to monitor how people move about their house and how they spend their time.

Drones are another “thing” moving onto the Internet. As their price continues to drop and their capabilities increase, they will become a very powerful surveillance tool. Their cameras are powerful enough to see faces clearly, and there are enough tagged photographs on the Internet to identify many of us. We’re not yet up to a real-time Google Earth equivalent, but it’s not more than a few years away. And drones are just a specific application of CCTV cameras, which have been monitoring us for years, and will increasingly be networked.

Google’s Internet-enabled glasses—Google Glass—are another major step down this path of surveillance. Their ability to record both audio and video will bring ubiquitous surveillance to the next level. Once they’re common, you might never know when you’re being recorded in both audio and video. You might as well assume that everything you do and say will be recorded and saved forever.

In the near term, at least, the sheer volume of data will limit the sorts of conclusions that can be drawn. The invasiveness of these technologies depends on asking the right questions. For example, if a private investigator is watching you in the physical world, she or he might observe odd behavior and investigate further based on that. Such serendipitous observations are harder to achieve when you’re filtering databases based on pre-programmed queries. In other words, it’s easier to ask questions about what you purchased and where you were than to ask what you did with your purchases and why you went where you did. These analytical limitations also mean that companies like Google and Facebook will benefit more from the Internet of Things than individuals—not only because they have access to more data, but also because they have more sophisticated query technology. And as technology continues to improve, the ability to automatically analyze this massive data stream will improve.

In the longer term, the Internet of Things means ubiquitous surveillance. If an object “knows” you have purchased it, and communicates via either Wi-Fi or the mobile network, then whoever or whatever it is communicating with will know where you are. Your car will know who is in it, who is driving, and what traffic laws that driver is following or ignoring. No need to show ID; your identity will already be known. Store clerks could know your name, address, and income level as soon as you walk through the door. Billboards will tailor ads to you, and record how you respond to them. Fast food restaurants will know what you usually order, and exactly how to entice you to order more. Lots of companies will know whom you spend your days—and nights—with. Facebook will know about any new relationship status before you bother to change it on your profile. And all of this information will all be saved, correlated, and studied. Even now, it feels a lot like science fiction.

Will you know any of this? Will your friends? It depends. Lots of these devices have, and will have, privacy settings. But these settings are remarkable not in how much privacy they afford, but in how much they deny. Access will likely be similar to your browsing habits, your files stored on Dropbox, your searches on Google, and your text messages from your phone. All of your data is saved by those companies—and many others—correlated, and then bought and sold without your knowledge or consent. You’d think that your privacy settings would keep random strangers from learning everything about you, but it only keeps random strangers who don’t pay for the privilege—or don’t work for the government and have the ability to demand the data. Power is what matters here: you’ll be able to keep the powerless from invading your privacy, but you’ll have no ability to prevent the powerful from doing it again and again.

This essay originally appeared on the Guardian.

EDITED TO ADD (6/14): Another article on the subject.

Posted on May 21, 2013 at 6:15 AMView Comments

Risks of Networked Systems

Interesting research:

Helbing’s publication illustrates how cascade effects and complex dynamics amplify the vulnerability of networked systems. For example, just a few long-distance connections can largely decrease our ability to mitigate the threats posed by global pandemics. Initially beneficial trends, such as globalization, increasing network densities, higher complexity, and an acceleration of institutional decision processes may ultimately push human-made or human-influenced systems towards systemic instability, Helbing finds. Systemic instability refers to a system, which will get out of control sooner or later, even if everybody involved is well skilled, highly motivated and behaving properly. Crowd disasters are shocking examples illustrating that many deaths may occur even when everybody tries hard not to hurt anyone.

Posted on May 2, 2013 at 1:09 PMView Comments

Search Redirection and the Illicit Online Prescription Drug Trade

Really interesting research.

Search-redirection attacks combine several well-worn tactics from black-hat SEO and web security. First, an attacker identifies high-visibility websites (e.g., at universities) that are vulnerable to code-injection attacks. The attacker injects code onto the server that intercepts all incoming HTTP requests to the compromised page and responds differently based on the type of request:
Requests from search-engine crawlers return a mix of the original content, along with links to websites promoted by the attacker and text that makes the website appealing to drug-related queries.

  • Requests from users arriving from search engines are checked for drug terms in the original search query. If a drug name is found in the search term, then the compromised server redirects the user to a pharmacy or another intermediary, which then redirects the user to a pharmacy.
  • All other requests, including typing the link directly into a browser, return the infected website’s original content.
  • The net effect is that web users are seamlessly delivered to illicit pharmacies via infected web servers, and the compromise is kept hidden from view of the affected host’s webmaster in nearly all circumstances.

Upon inspecting search results, we identified 7,000 websites that had been compromised in this manner between April 2010 and February 2011. One quarter of the top ten search results were observed to actively redirect to pharmacies, and another 15% of the top results were for sites that no longer redirected but had previously been compromised. We also found that legitimate health resources, including authorized pharmacies, were largely crowded out of the top results by search-redirection attacks and blog and forum spam promoting fake pharmacies.

And the paper.

Posted on August 16, 2011 at 10:47 AMView Comments

Putting Unique Codes on Objects to Detect Counterfeiting

This will help some.

At least two rival systems plan to put unique codes on packages containing antimalarials and other medications. Buyers will be able to text the code to a phone number on the package and get an immediate reply of “NO” or “OK,” with the drug’s name, expiration date, and other information.

To defeat the system, the counterfeiter has to copy the bar codes. If the stores selling to customers are in on the scam, it can be the same code. If not, there have to be sufficient different bar codes that the store doesn’t detect duplications. Presumably, numbers that are known to have been copied are added to the database, so the counterfeiters need to keep updating their codes. And presumably the codes are cryptographically hard to predict, so the only way to keep updating them is to look at legitimate products.

Another attack would be to intercept the verification system. A man-in-the-middle attack against the phone number or the website would be difficult, but presumably the verification information would be on the object itself. It would be easy to swap in a fake phone number that would verify anything.

It’ll be interesting to see how the counterfeiters get around this security measure.

Posted on October 6, 2010 at 6:59 AMView Comments

Sidebar photo of Bruce Schneier by Joe MacInnis.