| 基于聚类的Ad hoc网络入侵检测研究 |
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| 引用本文： | 李菲,吴蒙.基于聚类的Ad hoc网络入侵检测研究[J].南京邮电大学学报(自然科学版),2009,29(3):32-36,42. |
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| 作者姓名： | 李菲 吴蒙 |
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| 作者单位： | 南京邮电大学,通信与信息工程学院,江苏,南京,210003 |
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| 摘 要： | 由于Ad hoc网络的独特网络特性,其安全性特别脆弱.在分析了Ad hoc网络安全性的基础上,提出了一种聚类算法和人工免疫系统相结合来进行入侵检测的方法.该算法是一种无监督异常检测算法,它具有可扩展性、对输入数据集的顺序不敏感等特性,有处理不同类型数据和噪声数据的能力.实验表明,该算法可以改进Adhoc网络入侵检测的检测率和误检率.
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| 关 键 词： | Ad hoc网络 入侵检测 聚类算法 免疫原理 |
Research of Clustering Algorithm in Intrusion Detection of Mobile Ad hoc Networks |
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| LI Fei,WU Meng.Research of Clustering Algorithm in Intrusion Detection of Mobile Ad hoc Networks[J].Journal of Nanjing University of Posts and Telecommunications,2009,29(3):32-36,42. |
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| Authors: | LI Fei WU Meng |
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| Institution: | LI Fei,WU Meng College of Telecommunications & Information Engineering,Nanjing University of Posts , Telecommunications,Nanjing 210003,China |
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| Abstract: | There are inherent vulnerabilities that are not easily preventable in Ad hoc networks.This paper discusses the application of cluster technology in intrusion detection of Ad hoc networks,which can enhance the security of intrusion detection.The algorithm is an unsupervised anomaly detection algorithm.It is extensible and not sensitive to the order of the input data sets.It has the capacity to deal with different types of data and noisy data.The experiments show that the algorithm improves detection rate and... |
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| Keywords: | Ad hoc networks intrusion detection clustering algorithm immune theory |
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