摘要
提出了一种新的基于粒子群算法入侵检测方法模型。算法采用粒子群优化算法,有效地降低网络拓扑路径长度,通过优化算法来寻找聚类的中心。实验结果表明,提出的改进算法与传统的入侵检测算法相比,具有更好的入侵识别率和检测率。
This paper presents a new intrusion detection method based on particle swarm optimization model. Algorithm using particle swarm optimization algorithm, effectively reduce the network topological path length, the optimization algorithm to find the clustering center. The experimental results show that the proposed algorithm, and the traditional intru- sion detection algorithm, has better intrusion recognition rate and detection rate
出处
《科技通报》
北大核心
2012年第4期128-129,158,共3页
Bulletin of Science and Technology
关键词
网络异常
粒子群算法
网络安全
入侵检测
network anomaly
particle swarm algorithm
network security
intrusion detection
