In a recent post, I talked about our paper showing how to identify anonymous programmers from their coding styles. We used a combination of lexical features (e.g., variable name choices), layout features (e.g., spacing), and syntactic features (i.e., grammatical structure of source code) to represent programmers’ coding styles. The previous post focused on the overall […]
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Anonymous programmers can be identified by analyzing coding style
January 21, 2015 by
Every programmer learns to code in a unique way which results in distinguishing “fingerprints” in coding style. These fingerprints can be used to compare the source code of known programmers with an anonymous piece of source code to find out which one of the known programmers authored the anonymous code. This method can aid in […]
On Decentralizing Prediction Markets and Order Books
June 19, 2014 by
In a new paper to be presented next week at WEIS by Jeremy Clark, we discuss the challenges in designing truly decentralized prediction markets and order books. Prediction markets allow market participants to trade shares in future events (such as “Will the USA advance to the knockout stage of the 2014 World Cup?”) and turn […]
Wickr: Putting the “non” in anonymity
June 2, 2014 by
[Let’s welcome new CITP blogger Pete Zimmerman, a first-year graduate student in the computer security group at Princeton. — Arvind Narayanan] Following the revelations of wide-scale surveillance by US intelligence agencies and their allies, a myriad of services offering end-to-end encrypted communications have cropped up to take advantage of the increasing demand for privacy from surveillance. […]
The importance of anonymous cryptocurrencies
May 7, 2014 by
Recently I was part of a collaboration on Mixcoin, a set of proposals for improving Bitcoin’s anonymity. A natural question to ask is: why do this research? Before I address that, an even more basic question is whether or not Bitcoin is already anonymous. You may have seen back-and-forth arguments on this question. So which […]
