Distributed data-theft detection in wireless sensor networks

Mukesh Jagasia, Dijiang Huang

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

2 Scopus citations


Data theft in wireless sensor networks could prove disastrous and most of the time gets undetected due to no apparent abnormal behavior of malicious nodes. To counter such attacks, we propose an anomaly based distributed data-theft detection protocol. Our approach works at the MAC layer by effectively measuring the MAC control packets. In this paper, we present a novel detection metric, a centralized and a gossip-based distributed protocol whereby a network can self-heal itself of such malicious nodes. Our performance evaluation defines how we measure the rate of detection and false positives rate and shows that our approach to detect malicious nodes is reliable, inexpensive and accurate.

Original languageEnglish (US)
Title of host publicationGLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference
StatePublished - 2009
Event2009 IEEE Global Telecommunications Conference, GLOBECOM 2009 - Honolulu, HI, United States
Duration: Nov 30 2009Dec 4 2009

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference


Other2009 IEEE Global Telecommunications Conference, GLOBECOM 2009
Country/TerritoryUnited States
CityHonolulu, HI

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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