Voting for authorship attribution applied to dark web data
Pages 217 - 226
Abstract
This research is about authorship attribution (AA) within multiple Dark Web forums and the question of whether AA is possible beyond the boundaries of a single forum. AA can become a curse for users that try to protect their anonymity and simultaneously become a blessing for law enforcement groups that try to track users. In this paper, we explore AA within multiple Dark Web forums to determine whether AA is possible beyond the boundaries of a single forum. The analysis revealed that analyzing all features together with a single classifier does not achieve as good results as when they are classified separately and the final result is computed by a voting mechanism. The latter achieves an F1-Score that is up to 44% higher than in the former case. On top of that, the analyses show that the author of a post is at least 94% within the top three most likely candidates. This shows that AA can threaten the anonymity of Dark Web users across the boundaries of different forums.
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Published: 10 November 2020
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