An Integrated Intrusion Detection Model of Cluster-Based Wireless Sensor Network
نویسندگان
چکیده
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.
منابع مشابه
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عنوان ژورنال:
دوره 10 شماره
صفحات -
تاریخ انتشار 2015