Traffic analysis-based unlinkability measure for IEEE 802.11b-based communication systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations

Abstract

Measuring communication anonymity (e.g., unlinkability) of wireless ad hoc networks is a critical but still unsolved problem. In order to solve this problem, we propose a two-step unlinkability measuring approach: (a) statistical traffic analysis-based evidence collection, (b) evidence theory-based unlinkability measure. To demonstrate our approach, we use IEEE 802.11b-based ad hoc networks as our analyzing communication systems. Based on our proposed IEEE 802.11b transmission and channel models, we can collect a set of evidence which can be used to set up a probability assignment for each possible communication relation (i.e., the data sender and corresponding receiver); and then we can apply the evidence theory-based unlinkability measuring approach to the collected evidence to derive the unlinkability measure of the given 802.11b-based ad hoc network.

Original languageEnglish (US)
Title of host publicationWiSE 2006 - Proceedings of the 5th ACM Workshop on Wireless Security
Pages65-74
Number of pages10
DOIs
StatePublished - Dec 1 2006
EventWiSE 2006 - 5th ACM Workshop on Wireless Security - Los Angeles, CA, United States
Duration: Sep 29 2006Sep 29 2006

Publication series

NameWiSE 2006 - Proceedings of the 5th ACM Workshop on Wireless Security
Volume2006

Other

OtherWiSE 2006 - 5th ACM Workshop on Wireless Security
CountryUnited States
CityLos Angeles, CA
Period9/29/069/29/06

Keywords

  • Evidence theory
  • Traffic analysis
  • Unlinkability

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications

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