| 模糊聚类和QPSO算法在Ad Hoc异常检测中的应用 |
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| 引用本文： | 张端,刘渊,郝建东.模糊聚类和QPSO算法在Ad Hoc异常检测中的应用[J].计算机工程与应用,2010,46(30):92-94. |
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| 作者姓名： | 张端 刘渊 郝建东 |
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| 作者单位： | 1. 江南大学,信息工程学院,江苏,无锡,214122
2. 江南大学,信息工程学院,江苏,无锡,214122;江南大学,数字媒体中心,江苏,无锡,214122 |
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| 摘 要： | 根据模糊聚类算法和量子粒子群算法，提出一种基于以上两种算法的网络异常检测模型，并将该模型应用到Ad Hoc无线网络异常检测中。在聚类分析中，K-Means聚类算法是应用最广泛的方法之一。该模型先利用K-Means聚类算法的结果重新初始化粒子群，聚类过程都是根据数据向量间的欧几里德距离；再通过量子粒子群优化算法寻找聚类中心；最后进行仿真模拟，实验结果表明该模型对Ad Hoc无线网络异常检测是有效的。
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| 关 键 词： | K-Means聚类算法 量子粒子群算法 Ad Hoc无线网络 异常检测 |
| 收稿时间： | 2009-3-12 |
| 修稿时间： | 2009-5-7
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Network anomaly detection based on fuzzy clustering algorithm and QPSO algorithm in mobile Ad Hoc |
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| ZHANG Duan,LIU Yuan,HAO Jian-dong.Network anomaly detection based on fuzzy clustering algorithm and QPSO algorithm in mobile Ad Hoc[J].Computer Engineering and Applications,2010,46(30):92-94. |
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| Authors: | ZHANG Duan LIU Yuan HAO Jian-dong |
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| Affiliation: | 1.School of Information Engineering Jiangnan University,Wuxi,Jiangsu 214122,China 2.Digital Media Center,Jiangnan University,Wuxi,Jiangsu 214122,China |
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| Abstract: | Based on fuzzy clustering algorithm and QPSO clustering algorithm,a model of detecting network anomaly based on these two algorithms is presented.In cluster analysis,K-Means algorithm is one of the most widely used methods.The paper uses K-Means clustering algorithm to seed the initial swam.All the process of clustering based on the Euclidean distance among data-vectors.Cluster-center is chosen by QPSO clustering algorithm.Finally,the experiment result shows that this model is effective for wireless network anomaly detection. |
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| Keywords: | K-Means clustering algorithm Quantum behaved Paticle Swarm Optimization（QPSO） clustering algorithm Ad Hoc wireless network anomaly detection |
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