Timing side channels for traffic analysis

Xun Gong, Negar Kiyavash

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

Abstract

Traffic analysis often requires direct observations of network connections at local vantage points. In this work, we show that traffic analysis can be performed remotely by taking advantage of a timing side channel. The timing side channel results from a shared resource, namely, the scheduler between two users. Utilizing Shannon equivocation as a privacy metric, we prove that one user can learn the complete traffic pattern of the other user if the scheduler employs a first come first serve (FCFS) policy. Moreover, we show the feasibility of a real system attack exploiting the timing side channel inside a home digital subscriber line (DSL) router. This demonstrates the magnitude of the threat timing side channels pose for traffic analysis.

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
Pages8697-8701
Number of pages5
DOIs
StatePublished - Oct 18 2013
Event2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, Canada
Duration: May 26 2013May 31 2013

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
Country/TerritoryCanada
CityVancouver, BC
Period5/26/135/31/13

Keywords

  • privacy
  • timing channel
  • timing side channel
  • traffic analysis

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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