October 22, 2017

We can de-anonymize programmers from coding style. What are the implications?

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 results and techniques we used. Today I’ll talk about applications and explain how source code authorship attribution can be used in software forensics, plagiarism detection, copyright or copyleft investigations, and other domains.

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Anonymous programmers can be identified by analyzing coding style

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 finding malware programmers or detecting cases of plagiarism. In a recent paper, we studied this question, which we call source-code authorship attribution. We introduced a principled method with a robust feature set and achieved a breakthrough in accuracy.

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