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Analyzing Characteristic Host Access Patterns for Re-Identification of Web User Sessions

URN to cite this document:
urn:nbn:de:bvb:355-epub-211035
Herrmann, Dominik ; Gerber, Christoph ; Banse, Christian ; Federrath, Hannes
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Date of publication of this fulltext: 07 Jun 2011 05:30


Abstract

An attacker, who is able to observe a web user over a long period of time, learns a lot about his interests. It may be difficult to track users with regularly changing IP addresses, though. We show how patterns mined from web traffic can be used to re-identify a majority of users, i. e. link multiple sessions of them. We implement the web user re-identification attack using a Multinomial Naive ...

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