A universal divergence-rate estimator for steganalysis in timing channels

Shankar Sadasivam, Pierre Moulin, Sean Meyn

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

Abstract

This paper proposes new tools for steganalysis of queue-based stegocodes over covert timing channels. We study a universal estimator for the Kullback-Leibler (KL) divergence rate between the covertext process and the stegotext process. We empirically illustrate the performance of our estimator on some simple queue-based stegocodes and study its convergence properties.

Original languageEnglish (US)
Title of host publication2010 IEEE International Workshop on Information Forensics and Security, WIFS 2010
DOIs
StatePublished - 2010
Event2010 IEEE International Workshop on Information Forensics and Security, WIFS 2010 - Seattle, WA, United States
Duration: Dec 12 2010Dec 15 2010

Publication series

Name2010 IEEE International Workshop on Information Forensics and Security, WIFS 2010

Other

Other2010 IEEE International Workshop on Information Forensics and Security, WIFS 2010
Country/TerritoryUnited States
CitySeattle, WA
Period12/12/1012/15/10

ASJC Scopus subject areas

  • Information Systems
  • Safety, Risk, Reliability and Quality

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