Intrusion detection in wireless sensor networks for destructive intruders

  • Qixiang Yu
  • , Zhenxing Luo
  • , Paul Min

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Intrusion detection in a wireless sensor network (WSN) has drawn intensive attentions recently due to its wide applications. Many issues in intrusion detection, such as sensor deployment, mobility of sensors and data fusion have been investigated extensively. However, the behavior of the intruder has rarely been investigated. In this paper, we introduce a novel situation where the intruder can destroy encountered sensors. This situation is analyzed theoretically and experimentally under our system model. The key point is to discuss the intrusion detection problem differently according to the speed of the intruder. We derive the detection probability, which can be applied to any sensor deployment utilizing the disc model. The detection model we used includes a single-sensing detection model and a multiple-sensing detection model. Some interesting factors in intrusion detection, such as transmission period, sampling period, and the random entrance time of the intruder are also considered. Finally, our Monte-Carlo simulation results validated our analytical results.

Original languageEnglish
Title of host publication2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages68-75
Number of pages8
ISBN (Electronic)9789881476807
DOIs
StatePublished - Feb 19 2016
Event2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015 - Hong Kong, Hong Kong
Duration: Dec 16 2015Dec 19 2015

Publication series

Name2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015

Conference

Conference2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015
Country/TerritoryHong Kong
CityHong Kong
Period12/16/1512/19/15

Keywords

  • destructive intruder
  • disc model
  • intrusion detection
  • wireless sensor network

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