| 基于粒子群优化的聚类入侵检测算法 |
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| 引用本文： | 李永忠,杨鸽,徐静,赵博,孙彦.基于粒子群优化的聚类入侵检测算法[J].江苏科技大学学报(社会科学版),2009,23(1):51-55. |
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| 作者姓名： | 李永忠 杨鸽 徐静 赵博 孙彦 |
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| 作者单位： | 江苏科技大学,计算机科学与工程学院,江苏,镇江,212003
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| 基金项目： | 江苏省高校自然科学基金 |
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| 摘 要： | 为了在入侵检测中有效地克服传统的K均值算法易陷入局部极小值的缺点，使算法具有较好的全局收敛性，将粒子群优化算法应用于入侵检测，给出了基于粒子群优化的K均值聚类算法．通过理论分析及实验，验证了基于粒子群优化K均值聚类算法的有效性．对KDD CUP99数据集仿真，实验结果表明，该算法在入侵检测中能获得理想的检测率和误检率．
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| 关 键 词： | 粒子群优化 K均值算法 入侵检测 |
Anomaly detection for clustering algorithm based on particle swarm optimization |
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| Li Yongzhong,Yang Ge,Xu Jing,Zhao Bo,Sun Yan.Anomaly detection for clustering algorithm based on particle swarm optimization[J].Journal of Jiangsu University of Science and Technology:Natural Science Edition,2009,23(1):51-55. |
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| Authors: | Li Yongzhong Yang Ge Xu Jing Zhao Bo Sun Yan |
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| Institution: | School of Computer Science and Engineering;Jiangsu University of Science and Technology;Zhenjiang Jiangsu 212003;China |
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| Abstract: | As an effective method,K-mean clustering algorithm has been applied to the intrusion detection,but it is local optimal solution rather than global optimal solution.Particle swarm optimization(PSO) algorithm is a kind of swarm intelligence ones,and it has a good global search capabilities.K-means algorithm based on particle swarm optimization was proposed in this paper.The analysis and experiment show this algorithm may avoid local optima,and has good global convergence.Also,the algorithm is effective.Furthe... |
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| Keywords: | particle swarm optimization（PSO） K-means algorithm intrusion detection |
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