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无线传感器网络中基于SVM的合作型入侵检测系统 被引量：6

SVM-based cooperation intrusion detection system for WSN
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摘要 由于许多重要的无线传感器网络需要一个高效、轻量级、灵活的入侵检测算法来检测恶意节点,提出了一种基于二叉树的SVM多类分类方法的合作型入侵检测方案。该方案可扩展性较好,有效地节省了传感器节点的能量。仿真实验表明,与已经提出的入侵检测系统相比,该方案具有较低的误报率和较高的检测率。 Due to many critical wireless sensor networks require an efficient,lightweight and flexible intrusion detection algorithm to identify malicious attackers,this paper proposed SVM-based cooperation intrusion detection scheme.The scheme has a good expansibility and effectively saves the energy of sensor nodes.Simulation results show that the scheme has a low false alarm rate and a higher detection rate compared with existing intrusion detection schemes.
作者 祝琦 宋如顺 姚永仙
机构地区 南京师范大学数学与计算机科学学院
出处 《计算机应用研究》 CSCD 北大核心 2010年第4期1489-1492,共4页 Application Research of Computers
基金 国家"211工程"建设项目(181070H901) 江苏省自然科学基金资助项目(2003101SBRB231)
关键词 无线传感器网络 入侵检测 支持向量机 二叉树多类分类方法 误报率 检测率 wireless sensor networks（WSN） intrusion detection support vector machine（SVM） binary tree multi-class classification method false alarm detection accuracy
分类号 TP393.08 [自动化与计算机技术—计算机应用技术]
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参考文献12

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同被引文献48

  • 1Akyildiz I F,Su W,Sankarasubramaniam Y,et al.Wireless SensorNetwork:A Survey on Sensor Network[J].IEEE CommunicationsMagazine,2002,40(8):102-114.
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  • 4Li Guorui.A Distributed Intrusion Detection Scheme for WirelessSensor Networks[J].IEEE DOI10.1109/ICDCS.Workshops.2008.191545-0678/08:310-314.
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  • 6Heinzelman W B,Chndrakasan A P,Balakrishnan H.An Applica-tion-Specific Protocol Architecture for Wireless Microsensor Net-works[J].IEEE Transaction on Wireless Coinmunications,2002,1(4):660-670.
  • 7Yan K Q,Wang S C,Liu C W.A Hybrid Intrusion Detection System ofCluster-based Wireless Sensor Networks[C]//Proceedings of the In-ternational Multi Conference of Engineers and Computer Scientists,2009,1:978-986.
  • 8陈俊丽 焦李成.支撑矢量机的分类机理研究[J].西安电子科技大学学报,2000,27:106-110.
  • 9王培,周贤伟,覃伯平,赵鹏,郑连存.基于多代理的无线传感器网络入侵检测系统研究[J].传感技术学报,2007,20(3):677-681. 被引量：11
  • 10Leonardo M, Alfredo N. Distributed intrusion detection systems for enhancing security in mobile wireless sensor networks [ J ]. International Journal on Distributed Sensor Networks,2008,4(2) :83-109.

引证文献6

二级引证文献32

计算机应用研究
2010年 第4期

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