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Web User Profiling Based on Browsing Behavior Analysis

Abstract : Determining the source of criminal activity requires a reliable means to estimate a criminal’s identity. One way to do this is to use web browsing history to build a profile of an anonymous user. Since an individual’s web use is unique, matching the web use profile to known samples provides a means to identify an unknown user. This paper describes a model for web user profiling and identification. Two aspects of browsing behavior are examined to construct a user profile, the user’s page view number and page view time for each domain. Four weighting models, based on the term frequency and term frequency – inverse document frequency weighting schemes, are proposed and compared. Experiments involving 51 personal computers demonstrate that the profiling model is very effective at identifying web users.
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Xiao-Xi Fan, Kam-Pui Chow, Fei Xu. Web User Profiling Based on Browsing Behavior Analysis. 10th IFIP International Conference on Digital Forensics (DF), Jan 2014, Vienna, Austria. pp.57-71, ⟨10.1007/978-3-662-44952-3_5⟩. ⟨hal-01393760⟩

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