title: An Integrated Intrusion Detection Model of Cluster-Based Wireless Sensor Network.
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.
authors.affiliation: School of Computer Science and Software, Tianjin Polytechnic University, Tianjin, 300387,China.
authors.forename: Xuemei
authors.initials: X
authors.lastname: Sun
authors.affiliation: School of Computer Science and Software, Tianjin Polytechnic University, Tianjin, 300387,China.
authors.forename: Bo
authors.initials: B
authors.lastname: Yan
authors.affiliation: School of Computer Science and Software, Tianjin Polytechnic University, Tianjin, 300387,China.
authors.forename: Xinzhong
authors.initials: X
authors.lastname: Zhang
authors.affiliation: School of Computer Science and Software, Tianjin Polytechnic University, Tianjin, 300387,China.
authors.forename: Chuitian
authors.initials: C
authors.lastname: Rong
mesh_terms: D000465:Algorithms; D016000:Cluster Analysis; D003195:Computer Communication Networks / Q000295:instrumentation*; D016494:Computer Security / Q000295:instrumentation*; D003198:Computer Simulation; D059015:Wireless Technology / Q000295:instrumentation*