A statistical traffic pattern discovery system for manets

Yang Qin, Dijiang Huang

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

4 Scopus citations

Abstract

Anonymous MANET routing relies on techniques such as re-encryption on each hop to hide end-to-end communication relations. However, passive signal detectors and traffic analyzers can still retrieve sensitive information from PHY and MAC layers through statistical traffic analysis. In this paper, we propose a statistical traffic pattern discovery (STPD) system. STPD intends to find out the sources and destinations of captured packets and discover the end-to-end communication relations. The proposed approach does not require analyzers to be actively involved in MANET transmissions or to decrypt the traffic. We present theoretical models as well as extensive simulations to demonstrate our solutions.

Original languageEnglish (US)
Title of host publicationMILCOM 2009 - 2009 IEEE Military Communications Conference
DOIs
StatePublished - Dec 1 2009
Event2009 IEEE Military Communications Conference, MILCOM 2009 - Boston, MA, United States
Duration: Oct 18 2009Oct 21 2009

Publication series

NameProceedings - IEEE Military Communications Conference MILCOM

Other

Other2009 IEEE Military Communications Conference, MILCOM 2009
CountryUnited States
CityBoston, MA
Period10/18/0910/21/09

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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