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

URN to cite this document:: urn:nbn:de:bvb:355-epub-211035
DOI to cite this document:: 10.5283/epub.21103

Herrmann, Dominik ; Gerber, Christoph ; Banse, Christian ; Federrath, Hannes

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Date of publication of this fulltext: 07 Jun 2011 05:30

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Item type:	Conference or workshop item (Paper)
Date:	October 2010
Institutions:	Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Alumni or Retired Professors > Lehrstuhl für Wirtschaftsinformatik IV - Management der Informationssicherheit (Prof. Dr.-Ing. Hannes Federrath)
Dewey Decimal Classification:	000 Computer science, information & general works > 004 Computer science
Status:	Published
Refereed:	Yes, this version has been refereed
Created at the University of Regensburg:	Yes
Item ID:	21103

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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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