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基于核Fisher判别分析的无线传感器网络入侵检测算法
引用本文:胡志鹏,魏立线,申军伟,杨晓元.基于核Fisher判别分析的无线传感器网络入侵检测算法[J].传感技术学报,2012,25(2):246-250.
作者姓名:胡志鹏  魏立线  申军伟  杨晓元
作者单位:武警工程学院电子技术系网络与信息安全武警部队重点实验室;西安电子科技大学网络信息安全教育部重点实验室
基金项目:国家自然科学基金项目(60842006)
摘    要:无线传感器网络能量有限、计算能力有限,传统网络中的入侵检测方法不适用于无线传感器网络。提出了一种基于核Fisher判别分析的无线传感器网络入侵检测算法,利用核Fisher判别分析对比传感器节点数据和已建立的入侵行为特征来判断是否存在入侵行为。理论分析和仿真实验表明,该方法能有效的检测入侵行为,并且具有低能耗、计算量小的特点,适用于计算能力有限、能量紧缺的无线传感器网络入侵检测。

关 键 词:无线传感器网络  入侵检测  核Fisher判别分析  模式识别

An Intrusion Detection Algorithm for WSN Based on Kernel Fisher Discriminant
HU Zhipeng,WEI Lixian,SHEN Junwei,YANG Xiaoyuan.An Intrusion Detection Algorithm for WSN Based on Kernel Fisher Discriminant[J].Journal of Transduction Technology,2012,25(2):246-250.
Authors:HU Zhipeng  WEI Lixian  SHEN Junwei  YANG Xiaoyuan
Affiliation:1,2(1.Key Laboratory of Network & Information Security of APF,Engineering College of APF,Xi ’ an 710086,China;2.Key Laboratory of Network & Information Security of the Ministry of Education,Xidian University,Xi ’ an 710071,China)
Abstract:As the energy and computing ability are limited in wireless sensor networks,so almost all of the traditional network intrusion detection schemes cannot be applied efficiently.In order to overcome the weaknesses,a intrusion detection algorithm for WSN based on Kernel Fisher Discriminant(KFDA)is proposed.The method exploits KFDA by comparing the sensor node data and established behavioral characteristics to determine whether there is intrusion.Theoretical analysis and simulation results show that the proposed scheme not only can detect intrusions effectively,but also can apply to intrusion detection for WSN which require computing ability and limited energy less than others.
Keywords:WSN  intrusion detection  Kernel Fisher Discriminant  pattern recognition
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