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Intrusion Detection System using Hybrid Fuzzv Genetic Algorithm

机译:利用混合义脉遗传算法的入侵检测系统

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This paper describes how Hybrid IDS is used in Fuzzy Genetic algorithm in wireless networks or networks. These days Intrusion Detection System (IDS) which is defined as a solution of system security is employed to identify the abnormal activities in a computer system or network. The IDS is to detect the attacks and generate the proper response. The drawback of the anomaly based intrusion detection in a wireless network is the high rate of false positive. By designing a hybrid intrusion detection system can solve this by connecting a misuse detection module to the anomaly detection module. In this paper, we propose to develop a hybrid intrusion detection system for wireless local area networks based on Fuzzy Genetic logic. The proposed Fuzzy Genetic logic-based system could be able to detect the intrusive activities of the computer networks as the rule base holds a better set of rules.
机译:本文介绍了无线网络或网络中的混合遗传算法中的混合ID。这些天的入侵检测系统(ID)被定义为系统安全解的解决方案来识别计算机系统或网络中的异常活动。 IDS是检测攻击并生成正确的响应。基于异常的无线网络中的入侵检测的缺点是假阳性的高速率。通过设计混合入侵检测系统可以通过将误用的检测模块连接到异常检测模块来解决这个问题。在本文中,我们建议基于模糊遗传逻辑开发用于无线局域网的混合入侵检测系统。当规则库保持更好的规则时,所提出的模糊基于遗传逻辑的系统可以检测计算机网络的侵入活动。

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