| 基于机器学习的移动自组织网络入侵检测方法 |
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| 引用本文： | 杨德明,潘进,赵爽.基于机器学习的移动自组织网络入侵检测方法[J].计算机应用,2005,25(11):2557-2558. |
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| 作者姓名： | 杨德明 潘进 赵爽 |
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| 作者单位： | 1.西北工业大学自动化学院； 2.西安通信学院网络工程教研室； 3.92493部队通信站 |
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| 摘 要： | 移动自组织网络是由无线移动节点组成的复杂分布式通信系统。研究了移动自组织网络的入侵检测问题，采用了一种新型的基于机器学习算法的异常入侵检测方法。该方法获取正常事件的内部特征的相互关系模式，并将该模式作为轮廓检测异常事件。在Ad hoc 按需距离向量协议上实现了该方法，并在网络仿真软件QualNet中对其进行了评估。
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| 关 键 词： | 移动自组织网络 异常入侵检测 机器学习 |
| 文章编号： | 1001-9081（2005）11-2557-02 |
| 收稿时间： | 2005-05-18 |
| 修稿时间： | 2005-05-182005-07-29 |
Intrusion detection method for mobile ad-hoc networks based on machine learning |
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| YANG De-ming,PAN Jin,ZHAO Shuang.Intrusion detection method for mobile ad-hoc networks based on machine learning[J].journal of Computer Applications,2005,25(11):2557-2558. |
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| Authors: | YANG De-ming PAN Jin ZHAO Shuang |
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| Affiliation: | 1.College of Automation,Northwestern Polytechnical University,Xi’an Shaanxi 710072,China;2.Staff Room of Network Engineering,Xi’an Institute of Communication, Xi’an Shaanxi 710106,China;3.Communication Station,92493 Unit of PLA,Huludao Liaoning 125000, China |
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| Abstract: | Mobile ad-hoc networks(MANETs) represent complex distributed communication systems comprised of wireless mobile nodes.Based on the discussion of intrusion detection problem in MANET,a novel anomaly intrusion detection method based on machine learning algorithm was proposed to detect attacks on MANET.The method captured the normal traffic's inter-feature correlation pattern which could be used as normal profiles to detect anomalies caused by attacks.The method was implemented on Ad-hoc On-Demand Distance Vector(AODV) protocol and evaluated in QualNet,a leading network simulation software. |
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| Keywords: | mobile ad-hoc networks anomaly intrusion detection machine learning |
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