Distributed T-Distribution-Based Intrusion Detection in Wireless Sensor Networks

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 295)

Abstract

Detecting malicious attackers is a critical problem for many sensor network applications. In this paper, a distributed t-distribution-based intrusion detection scheme was proposed. Considering the spatial correlation in the neighborhood activities, our intrusion detection algorithm established a robust model for multiple attributes of sensor nodes using t-distribution. The robust model with an approximate parameter algorithm was exploited to detect malicious attackers precisely. Experimental results show that our algorithm can achieve high detection accuracy and low false alarm rate even when a few sensor nodes are misbehaving, and perform quickly with a lower computational cost.

Keywords

Wireless sensor networks Intrusion detection t-distribution  Approximate estimation 

Notes

Acknowledgments

This paper was supported by National Science and Technology Major Project of the Ministry of Science and Technology of China. (Grant No. \(2010ZX03006-001-01\)), and National Program on Key Basic Research Project of China. (Grant No. \(2011CB302902\)).

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Software Engineering InstituteEast China Normal UniversityShangHaiChina
  2. 2.Software SchoolHenan UniversityKaifengChina

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