基于PSO-RBF无线传感器网络入侵检测技术研究

摘要

A particle swarm optimization ( PSO) , radial basis function ( RBF) lightweight intrusion detection framework is proposed aiming at the features of WSNs. The parameters of RBF is optimized by assimilating the advantages both of PSO' s global search and RBF' s local search,the test result shows that PSO-RBF algorithm might be effectively and reliably used in WSNs intrusion detection system.%针对无线传感器网络自身特性,提出了基于粒子群优化(PSO)径向基函数(RBF)神经网络的轻量级入侵检测方案,该方案结合PSO算法与RBF神经网络分别在全局搜索和局部搜索的优势,使用PSO优化RBF的中心、宽度及权值.仿真实验表明:基于PSO-RBF的入侵检测算法可以有效、可靠地运用于无线传感器入侵检测系统中.