Network intrusion detection method based on Agent and SVM

Xiaoqing Guan, Guo Hebin, Chen Luyi
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引用次数: 18

Abstract

It is necessary to study a kind of network intrusion detection method which realizes faster attack detection and response. In order to improve the network intrusion detection precision further, Network intrusion detection method based on Agent and SVM is proposed to recognize the intrusion types in the paper. The network intrusion detection system based Agent and SVM are created. Then, network Intrusion detection model based on SVM is gained, and the process of intrusion detection by SVM is given. The experimental results demonstrate that the presented method in this paper is better than artificial neural network.
基于Agent和SVM的网络入侵检测方法
有必要研究一种能够实现更快的攻击检测和响应的网络入侵检测方法。为了进一步提高网络入侵检测的精度,本文提出了基于Agent和SVM的网络入侵检测方法来识别入侵类型。建立了基于Agent和SVM的网络入侵检测系统。然后,建立了基于支持向量机的网络入侵检测模型,给出了支持向量机入侵检测的过程。实验结果表明,该方法优于人工神经网络。
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