基于Teiresias算法的基因库初始化方法

D. You-xiang, Huang Min, Xu Jiuyun
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引用次数: 3

摘要

本文分析了当前入侵检测系统中生成检测器存在的问题和不足,提出了一种可应用于Teiresias算法初始化基因库的方法,以及基于人工免疫理论的利用基因库生成检测器的方法。利用Teiresias算法对非自数据进行预处理,可以得到更有效地反映非自特征的变长序列模式。利用这种相对独立、完整、有意义的模式对基因文库进行初始化,可以使基因文库更加优化,从而大大提高入侵检测系统的效率和准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Initialization Method of Gene Library Based on Teiresias Algorithm
this paper analyses the problems and disadvantages of generating detectors in the current intrusion detection system so as to propose a method that can be applied into Teiresias algorithm to initialize gene library, relating with the ways of generating detectors by using the gene library based on the artificial immune theory. By using Teiresias algorithm to preprocess the non-self data, we can get a more effective variable-length sequence pattern that can reflect the non-self characteristics. Using this pattern, which is relatively independent, complete and meaningful, to initialize the gene library can make the gene library more optimized, and this will greatly improve the efficiency and accuracy of intrusion detection system.
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