Research intrusion detection based on PSO fuzzy clustering algorithm

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (2): 149-151.

• 网络、通信与安全 • Previous Articles Next Articles

Research intrusion detection based on PSO fuzzy clustering algorithm

ZHANG Ling-jie¹,CHU Xue-zheng²,ZHANG Guo-hui²

1．Dept. of Information Engineering，North China University of Water Conservancy and Electric Power，Zhengzhou 450008，China
2．State Key Lab. of Digital Manufacturing Equipment and Tech.，Huazhong Univ. of Sci. and Tech.，Wuhan 430074，China

Received:1900-01-01 Revised:1900-01-01 Online:2008-01-11 Published:2008-01-11
Contact: ZHANG Ling-jie

基于PSO模糊聚类算法的入侵检测研究

张凌杰¹,褚学征²,张国辉²

1.华北水利水电学院水利职业学院信息工程系，郑州 450008
2.华中科技大学数字制造装备与技术国家重点实验室，武汉 430074

通讯作者: 张凌杰

Abstract

Abstract: A Particle Swarm Optimization-based Fuzzy Clustering Algorithms（PSOFCA） is proposed to improve some defects of sensitivity to the initial data，getting in the local optimization and so on about Fuzzy C-Means in intrusion detection system.Finally，the empirical datum is simulated，and the computational results compares with other algorithm results.The compared results show a better detective ability than other algorithms by the data obtained in experiment.

Key words: intrusion detection, FCM, PSO

摘要： 提出一种将粒子群优化（PSO）和FCM 相结合的聚类算法PSOFCA对入侵检测系统进行研究，克服FCM方法自身对初始值敏感、容易陷入局部最优等问题。最后对实验数据进行仿真实验，并将实验结果与其他算法结果相比较，结果表明PSOFCA算法在入侵检测中能获得较好的检测能力。

关键词: 入侵检测, 模糊均值算法, 粒子群优化算法

ZHANG Ling-jie¹,CHU Xue-zheng²,ZHANG Guo-hui². Research intrusion detection based on PSO fuzzy clustering algorithm[J]. Computer Engineering and Applications, 2008, 44(2): 149-151.

张凌杰¹,褚学征²,张国辉². 基于PSO模糊聚类算法的入侵检测研究[J]. 计算机工程与应用, 2008, 44(2): 149-151.

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Research intrusion detection based on PSO fuzzy clustering algorithm

基于PSO模糊聚类算法的入侵检测研究

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