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A cooperative trust evaluation scheme for tactical wireless sensor networks
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Publication Year
2020-01-12
Journal
ACM International Conference Proceeding Series
Publisher
Association for Computing Machinery
Citation
ACM International Conference Proceeding Series, pp.183-187
Keyword
Pattern AnalysisTactical networksTrust Management
Mesh Keyword
Computational overheadsEnergy-efficient evaluationsPattern analysisSelective forwardingSimulation studiesTactical networkTrust evaluationTrust management
All Science Classification Codes (ASJC)
SoftwareHuman-Computer InteractionComputer Vision and Pattern RecognitionComputer Networks and Communications
Abstract
In this paper, we address an important issue of trust evaluation for tactical wireless sensor networks, where energy-hungry sensor nodes are deployed in harsh and hostile areas for the purpose of surveillance and reconnaissance. In particular, due to the limited resources of the node, it is of great importance to detect and isolate malicious nodes in an energy-efficient manner. Most of previous work adopt some proactive scanning method, requiring periodical exchange of control messages even in ordinary times and thus significant computational overhead for updating trust values per all nodes over the network. In order to provide more energy efficient evaluation method (while yet preventing any intelligent attacks such as selective forwarding and false positive problem attacks), we propose a novel cooperative trust evaluation scheme in which the initial trust level of nodes measured by ondemand trust rating approach is re-evaluated later on by a root or gateway node based on a pattern analysis. Through a preliminary simulation study using OPNET simulator, we compare our scheme to the existing work and prove that it can achieve the higher detection rate with much less energy consumption.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36610
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85082007804&origin=inward
DOI
https://doi.org/10.1145/3378936.3378943
Journal URL
http://portal.acm.org/
Type
Conference
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Ko, Young-Bae고영배
Department of Software and Computer Engineering
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