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

被引：9
|
作者：
Sun, Xuemei [1 ]
Yan, Bo [1 ]
Zhang, Xinzhong [1 ]
Rong, Chuitian [1 ]
机构：
[1] Tianjin Polytech Univ, Sch Comp Sci & Software, Tianjin 300387, Peoples R China
来源：
PLOS ONE | 2015年 / 10卷 / 10期
基金：
中国国家自然科学基金;
关键词：
GRAPHS; ENERGY;
D O I：
10.1371/journal.pone.0139513
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
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.
引用
收藏
页数：16
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