传感技术学报2012，Vol.25Issue(2)：246-250,5.DOI:10.3969/j.issn.1004-1699.2012.02.021
基于核Fisher判别分析的无线传感器网络入侵检测算法
An Intrusion Detection Algorithm for WSN Based on Kernel Fisher Discriminant
摘要
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.关键词
无线传感器网络/入侵检测/核Fisher判别分析/模式识别Key words
WSN/intrusion detection/Kernel Fisher Discriminant/pattern recognition分类
信息技术与安全科学引用本文复制引用
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):246-250,5.基金项目
项目来源:国家自然科学基金项目(60842006) （60842006）
