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Where You Are Is Who You Are: User Identification by Matching Statistics

Information Forensics and Security, IEEE Transactions, no. 2 (2016): 358-372

Cited: 61|Views34
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Abstract

Most users of online services have unique behavioral or usage patterns. These behavioral patterns can be exploited to identify and track users by using only the observed patterns in the behavior. We study the task of identifying users from statistics of their behavioral patterns. In particular, we focus on the setting in which we are give...More

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