Hacking Citation Counts
Hacking citation counts using Google Scholar.
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More State-Sponsored Hacking
After the New York Times broke the story of what seemed to be a state-sponsored hack from China against the newspaper, the Register has stories of two similar attacks: one from Burma and another from China.
Automobile Data Surveillance and the Future of Black Boxes
Tesla Motors gave one of its electric cars to John Broder, a very outspoken electric-car skeptic from the New York Times, for a test drive. After a negative review, Tesla revealed that it logged a dizzying amount of data from that test drive. The company then matched the reporter’s claims against its logs and published a rebuttal. Broder rebutted the rebuttal, and others have tried to figure out who is lying and who is not.
What’s interesting to me is the sheer amount of data Tesla Motors automatically collected about the test drive. From the rebuttal:
After a negative experience several years ago with Top Gear, a popular automotive show, where they pretended that our car ran out of energy and had to be pushed back to the garage, we always carefully data log media drives.
Read the article to see what they logged: power consumption, speed, ambient temperature, control settings, location, and so on.
The stakes are high here. Broder and the New York Times are concerned about their journalistic integrity, which affects their brand. And Tesla Motors wants to sell cars.
The implication is that Tesla Motors only does this for media test drives, but it gives you an idea of the sort of things that will be collected once automobile black boxes become the norm. We’re used to airplane black boxes, which only collected a small amount of data from the minutes just before an incident. But that was back when data was expensive. Now that it’s cheap, expect black boxes to collect everything all the time. And once it’s collected, it’ll be used. By auto manufacturers, by insurance companies, by car rental companies, by marketers. The list will be long.
But as we’re learning from this particular back-and-forth between Broder and Tesla Motors, even intense electronic surveillance of the actions of a person in an enclosed space did not succeed in providing an unambiguous record of what happened. To know that, the car company would have had to have someone in the car with the journalist.
This will increasingly be a problem as we are judged by our data. And in most cases, neither side will spend this sort of effort trying to figure out what really happened.
EDITED TO ADD (2/21): CNN weighs in.
Jacob Appelbaum's 29C3 Keynote Speech
This speech from last December’s 29C3 (29th Chaos Communication Congress) is worth listening to. He talks about what we can do in the face of oppressive power on the Internet. I’m not sure his answers are right, but am glad to hear someone talking about the real problems.
Guessing Smart Phone PINs by Monitoring the Accelerometer
“Practicality of Accelerometer Side Channels on Smartphones,” by Adam J. Aviv. Benjamin Sapp, Matt Blaze, and Jonathan M. Smith.
Abstract: Modern smartphones are equipped with a plethora of sensors that enable a wide range of interactions, but some of these sensors can be employed as a side channel to surreptitiously learn about user input. In this paper, we show that the accelerometer sensor can also be employed as a high-bandwidth side channel; particularly, we demonstrate how to use the accelerometer sensor to learn user tap and gesture-based input as required to unlock smartphones using a PIN/password or Android’s graphical password pattern. Using data collected from a diverse group of 24 users in controlled (while sitting) and uncontrolled (while walking) settings, we develop sample rate independent features for accelerometer readings based on signal processing and polynomial fitting techniques. In controlled settings, our prediction model can on average classify the PIN entered 43% of the time and pattern 73% of the time within 5 attempts when selecting from a test set of 50 PINs and 50 patterns. In uncontrolled settings, while users are walking, our model can still classify 20% of the PINs and 40% of the patterns within 5 attempts. We additionally explore the possibility of constructing an accelerometer-reading-to-input dictionary and find that such dictionaries would be greatly challenged by movement-noise and cross-user training.
Using the iWatch for Authentication
Usability engineer Bruce Tognazzini talks about how an iWatch—which seems to be either a mythical Apple product or one actually in development—can make authentication easier.
Passcodes. The watch can and should, for most of us, eliminate passcodes altogether on iPhones, and Macs and, if Apple’s smart, PCs: As long as my watch is in range, let me in! That, to me, would be the single-most compelling feature a smartwatch could offer: If the watch did nothing but release me from having to enter my passcode/password 10 to 20 times a day, I would buy it. If the watch would just free me from having to enter pass codes, I would buy it even if it couldn’t tell the right time! I would happily strap it to my opposite wrist! This one is a must. Yes, Apple is working on adding fingerprint reading for iDevices, and that’s just wonderful, but it will still take time and trouble for the device to get an accurate read from the user. I want in now! Instantly! Let me in, let me in, let me in!
Apple must ensure, however, that, if you remove the watch, you must reestablish authenticity. (Reauthorizing would be an excellent place for biometrics.) Otherwise, we’ll have a spate of violent “watchjackings” replacing the non-violent iPhone-grabs going on today.
Anti-Cheating Security in Casinos
With over a thousand cameras operating 24/7, the monitoring room creates tremendous amounts of data every day, most of which goes unseen. Six technicians watch about 40 monitors, but all the feeds are saved for later analysis. One day, as with OCR scanning, it might be possible to search all that data for suspicious activity. Say, a baccarat player who leaves his seat, disappears for a few minutes, and is replaced with another player who hits an impressive winning streak. An alert human might spot the collusion, but even better, video analytics might flag the scene for further review. The valuable trend in surveillance, Whiting says, is toward this data-driven analysis (even when much of the job still involves old-fashioned gumshoe work). “It’s the data,” he says, “And cameras now are data. So it’s all data. It’s just learning to understand that data is important.”
Real-World Prisoner's Dilemma from France
This is a real story of a pair of identical twins who are suspected in a crime. There is CCTV and DNA evidence that could implicate either suspect. Detailed DNA testing that could resolve the guilty twin is prohibitively expensive. So both have been arrested in the hope that one may confess or implicate the other.
New al Qaeda Encryption Tool
There’s not a lot of information—and quite a lot of hyperbole—in this article:
With the release of the Asrar Al Dardashah plugin, GIMF promised “secure correspondence” based on the Pidgin chat client, which supports multiple chat platforms, including Yahoo Messenger, Windows Live Messenger, AOL Instant Messenger, Google Talk and Jabber/XMPP.
“The Asrar Al Dardashah plugin supports most of the languages in the world through the use of Unicode encoding, including Arabic, English, Urdu, Pashto, Bengali and Indonesian,” stated the announcement, which was posted on several top online Jihadist forums and GIMF’s official website.
“The plugin is easy and quick to use, and, like its counterpart, the Asrar Al Mujahideen program, it uses the technical algorithm RSA for asymmetric encryption, which is based [on] a pair of interrelated keys: a public key allocated for encrypting and a private key used for decrypting,” GIMF’s statement said. “To use the plugin, both of the communicating parties should install and activate the plugin and produce and import the Asrar Al Mujahideen private key into the Asrar Al Dardashah plugin, which automatically produces the corresponding public key of 2048-bit-length for use. It offers a level of encryption which has not been cracked or broken and can be relied upon entirely to protect the confidentiality of sensitive communication[s].”
Sidebar photo of Bruce Schneier by Joe MacInnis.