一种改进的PSO算法在网格入侵检测系统中的研究

摘要

网格具有独特的动态性、虚拟性、分布性、资源共享性等特点,传统的入侵检测系统很难有效解决现有的网格安全问题.利用带有超级结点对等网络结构的特点,设计出一种面向网格的入侵检测系统,并提出一种带变异算子的无速度矢量粒子群算法,同时将该算法应用到网格入侵检测系统中,实验证明该算法具有较好的检测效率.%The grid has particular characteristics such as dynamic, virtual, distributed and resources shared attributes, and it is difficult for traditional intrusion detection system to resolve existing grid security problem effectively. Considering the characterstic of P2P network architecture with super-node,in this paper we design a grid-oriented intrusion detection system and propose a kind of no-velocity-vector Partiele Swarm optimization (PSO) algorithm with mutation operator. Having been applied to the gird intrusion detection system, the algorithm shows high efficiency of intrusion detection in experinments.