An Integrated Intrusion Detection Model of Cluster-Based Wireless Sensor Network

Xuemei Sun, Bo Yan, Xinzhong Zhang and Chuitian Rong

PLOS ONE, 2015, vol. 10, issue 10, 1-16

Abstract: Considering wireless sensor network characteristics, this paper combines anomaly and mis-use detection and proposes an integrated detection model of cluster-based wireless sensor network, aiming at enhancing detection rate and reducing false rate. Adaboost algorithm with hierarchical structures is used for anomaly detection of sensor nodes, cluster-head nodes and Sink nodes. Cultural-Algorithm and Artificial-Fish–Swarm-Algorithm optimized Back Propagation is applied to mis-use detection of Sink node. Plenty of simulation demonstrates that this integrated model has a strong performance of intrusion detection.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0139513

DOI: 10.1371/journal.pone.0139513

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