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dc.contributor.advisorBagai, Rajiv
dc.contributor.authorLu, Huabo
dc.descriptionThesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer Scienceen_US
dc.description.abstractThe statistical disclosure attack (SDA) is quite an effective method for attackers to go against an anonymity system and to reveal the information behind it. It targets at a particular anonymity system user, tries to find its sending/receiving relationship with others after a long term observation. In this thesis, we first make an improvement for SDA, using weighted mean instead of the orginal arithmetic mean to calculate the cumulative observed receiver popularity in order to get a more precise value of the attack result. Second, we present an analysis for the effectiveness of the sender generated cover traffic, showing that employing this kind of cover traffic helps little on protecting anonymity system users against a sophisticated attacker. The analysis also validates an earlier empirical result of the ineffectiveness of sender generated cover traffic.en_US
dc.format.extentvii, 22 p.en
dc.publisherWichita State Universityen_US
dc.rights© Copyright 2011 by Huabo Lu. All rights reserveden
dc.subject.lcshElectronic dissertationsen
dc.titleSender cover traffic to counter an improved Statistical Disclosure Attacken_US

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  • CE Theses and Dissertations
    Doctoral and Master's theses authored by the College of Engineering graduate students
  • EECS Theses and Dissertations
    Collection of Master's theses and Ph.D. dissertations completed at the Dept. of Electrical Engineering and Computer Science
  • Master's Theses
    This collection includes Master's theses completed at the Wichita State University Graduate School (Fall 2005 --)

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