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Here’s a new biometric
Recognizable body odor patterns remain constant enough over time to allow people to be identified with an accuracy rate of 85 percent.
Not yet good enough for most applications, but presumably this kind of thing can only get more accurate.
EDITED TO ADD (3/14): The Stasi used to preserve individual odor samples for tracking.
In a story about a stolen Stradivarius violin, there’s this:
Information from a stun gun company, an anonymous tip and hours of surveillance paved the way for authorities to find a stolen 300-year-old Stradivarius violin in the attic of a Milwaukee home, police said Thursday.
[…]
Taser International, the maker of the stun gun used in the attack, “provided invaluable information” that the FBI tracked down in Texas and ultimately led police to Universal Allah, a Milwaukee resident, Police Chief Edward Flynn said Thursday.
The criminals stunned a musician as he was leaving a show at church, and drove off with his multimillion-dollar violin. What information could the stun gun company give the police that would be invaluable? Is it as simple as knowing who purchased the weapon, which was dropped at the scene? Or something weirder?
EDITED TO ADD (2/18): This may be it:
As the Milwaukee Police and the FBI began to conduct the investigation they reached out to us at TASER in order to identify possible suspects in the case. This was accomplished thanks to our Anti-Felon Identification tags (AFID). The AFID program enforces accountability for each use of a TASER device. This system releases dozens of confetti-sized markers upon discharge of a CEW cartridge. Each AFID contains a serial number that tracks back to the original purchaser of the cartridge. The large number of AFIDs and their small size makes it impractical to clean up. Therefore, law enforcement can pick up one AFID and contact TASER International for a complete trace on the serial number.
At the time of purchase, we verify the identity and background of the prospective buyer with the understanding that we will not release the information and it will be kept confidential unless a TASER device is used in the commission of a crime. This information proved invaluable during the investigation on the Stradivarius violin. “We worked very closely with TASER International who provided us invaluable information that the FBI was able to track down for us in Texas,” said Chief Flynn, “That information led us to an individual who had purchased this device.”
Here’s a new biometric I know nothing about:
The wristband relies on authenticating identity by matching the overall shape of the user’s heartwave (captured via an electrocardiogram sensor). Unlike other biotech authentication methods—like fingerprint scanning and iris-/facial-recognition tech—the system doesn’t require the user to authenticate every time they want to unlock something. Because it’s a wearable device, the system sustains authentication so long as the wearer keeps the wristband on.
EDITED TO ADD (12/13): A more technical explanation.
There seems to be a bunch of research into uniquely identifying cell phones through unique analog characteristics of the various embedded sensors. These sorts of things could replace cookies as surveillance tools.
Slashdot and MetaFilter threads.
When Apple bought AuthenTec for its biometrics technology—reported as one of its most expensive purchases—there was a lot of speculation about how the company would incorporate biometrics in its product line. Many speculate that the new Apple iPhone to be announced tomorrow will come with a fingerprint authentication system, and there are several ways it could work, such as swiping your finger over a slit-sized reader to have the phone recognize you.
Apple would be smart to add biometric technology to the iPhone. Fingerprint authentication is a good balance between convenience and security for a mobile device.
Biometric systems are seductive, but the reality isn’t that simple. They have complicated security properties. For example, they are not keys. Your fingerprint isn’t a secret; you leave it everywhere you touch.
And fingerprint readers have a long history of vulnerabilities as well. Some are better than others. The simplest ones just check the ridges of a finger; some of those can be fooled with a good photocopy. Others check for pores as well. The better ones verify pulse, or finger temperature. Fooling them with rubber fingers is harder, but often possible. A Japanese researcher had good luck doing this over a decade ago with the gelatin mixture that’s used to make Gummi bears.
The best system I’ve ever seen was at the entry gates of a secure government facility. Maybe you could have fooled it with a fake finger, but a Marine guard with a big gun was making sure you didn’t get the opportunity to try. Disney World uses a similar system at its park gates—but without the Marine guards.
A biometric system that authenticates you and you alone is easier to design than a biometric system that is supposed to identify unknown people. That is, the question “Is this the finger belonging to the owner of this iPhone?” is a much easier question for the system to answer than “Whose finger is this?”
There are two ways an authentication system can fail. It can mistakenly allow an unauthorized person access, or it can mistakenly deny access to an authorized person. In any consumer system, the second failure is far worse than the first. Yes, it can be problematic if an iPhone fingerprint system occasionally allows someone else access to your phone. But it’s much worse if you can’t reliably access your own phone—you’d junk the system after a week.
If it’s true that Apple’s new iPhone will have biometric security, the designers have presumably erred on the side of ensuring that the user can always get in. Failures will be more common in cold weather, when your shriveled fingers just got out of the shower, and so on. But there will certainly still be the traditional PIN system to fall back on.
So…can biometric authentication be hacked?
Almost certainly. I’m sure that someone with a good enough copy of your fingerprint and some rudimentary materials engineering capability—or maybe just a good enough printer—can authenticate his way into your iPhone. But, honestly, if some bad guy has your iPhone and your fingerprint, you’ve probably got bigger problems to worry about.
The final problem with biometric systems is the database. If the system is centralized, there will be a large database of biometric information that’s vulnerable to hacking. A system by Apple will almost certainly be local—you authenticate yourself to the phone, not to any network—so there’s no requirement for a centralized fingerprint database.
Apple’s move is likely to bring fingerprint readers into the mainstream. But all applications are not equal. It’s fine if your fingers unlock your phone. It’s a different matter entirely if your fingerprint is used to authenticate your iCloud account. The centralized database required for that application would create an enormous security risk.
This essay previously appeared on Wired.com.
EDITED TO ADD: The new iPhone does have a fingerprint reader.
I jacked a visitor’s badge from the Eisenhower Executive Office Building in Washington, DC, last month. The badges are electronic; they’re enabled when you check in at building security. You’re supposed to wear it on a chain around your neck at all times and drop it through a slot when you leave.
I kept the badge. I used my body as a shield, and the chain made a satisfying noise when it hit bottom. The guard let me through the gate.
The person after me had problems, though. Some part of the system knew something was wrong, and wouldn’t let her out. Eventually, the guard had to manually override something.
My point in telling this story is not to demonstrate how I beat the EEOB’s security—I’m sure the badge was quickly deactivated and showed up in some missing-badge log next to my name—but to illustrate how security vulnerabilities can result from human/machine trust failures. Something went wrong between when I went through the gate and when the person after me did. The system knew it but couldn’t adequately explain it to the guards. The guards knew it but didn’t know the details. Because the failure occurred when the person after me tried to leave the building, they assumed she was the problem. And when they cleared her of wrongdoing, they blamed the system.
In any hybrid security system, the human portion needs to trust the machine portion. To do so, both must understand the expected behavior for every state—how the system can fail and what those failures look like. The machine must be able to communicate its state and have the capacity to alert the humans when an expected state transition doesn’t happen as expected. Things will go wrong, either by accident or as the result of an attack, and the humans are going to need to troubleshoot the system in real time—that requires understanding on both parts. Each time things go wrong, and the machine portion doesn’t communicate well, the human portion trusts it a little less.
This problem is not specific to security systems, but inducing this sort of confusion is a good way to attack systems. When the attackers understand the system—especially the machine part—better than the humans in the system do, they can create a failure to exploit. Many social engineering attacks fall into this category. Failures also happen the other way. We’ve all experienced trust without understanding, when the human part of the system defers to the machine, even though it makes no sense: “The computer is always right.”
Humans and machines have different strengths. Humans are flexible and can do creative thinking in ways that machines cannot. But they’re easily fooled. Machines are more rigid and can handle state changes and process flows much better than humans can. But they’re bad at dealing with exceptions. If humans are to serve as security sensors, they need to understand what is being sensed. (That’s why “if you see something, say something” fails so often.) If a machine automatically processes input, it needs to clearly flag anything unexpected.
The more machine security is automated, and the more the machine is expected to enforce security without human intervention, the greater the impact of a successful attack. If this sounds like an argument for interface simplicity, it is. The machine design will be necessarily more complicated: more resilience, more error handling, and more internal checking. But the human/computer communication needs to be clear and straightforward. That’s the best way to give humans the trust and understanding they need in the machine part of any security system.
This essay previously appeared in IEEE Security & Privacy.
Interesting speculative article.
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 the “Internet 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.
Encouraging poll data says that maybe Americans are starting to have realistic fears about terrorism, or at least are refusing to be terrorized.
Good essay by Scott Atran on terrorism and our reaction.
Reddit apologizes. I think this is a big story. The Internet is going to help in everything, including trying to identify terrorists. This will happen whether or not the help is needed, wanted, or even helpful. I think this took the FBI by surprise. (Here’s a good commentary on this sort of thing.)
Facial recognition software didn’t help. I agree with this, though; it will only get better.
EDITED TO ADD (4/25): “Hapless, Disorganized, and Irrational“: John Mueller and Mark Stewart describe the Boston—and most other—terrorists.
It’s called stylometry, and it’s based on the analysis of things like word choice, sentence structure, syntax and punctuation. In one experiment, researchers were able to identify 80% of users with a 5,000-word writing sample.
Download tools here, including one to anonymize your writing style.
Sidebar photo of Bruce Schneier by Joe MacInnis.