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

  • Authors:

  • Dijiang Huang

  • Affiliations:

  • Arizona State University, Tempe, AZ

  • Venue:
  • WiSe '06 Proceedings of the 5th ACM workshop on Wireless security
  • Year:
  • 2006

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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.