基于人工免疫系统的入侵检测新方法

Baoyi Wang, Shaomin Zhang
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引用次数: 11

摘要

采用变半径检测器生成算法生成检测器。分析选择不同半径对检测结果的不同影响。测试样本需要与所有检测器进行比较以检测入侵。当检测器数量较大时,检测速度较慢。聚集在探测器附近的一个区域。落在该区域的测试样本只与该区域的检测器进行比较,而不是与所有检测器进行比较,从而减少了比较次数,提高了检测速度。对于落在非自空间的某个区域,且该区域没有任何检测器覆盖的测试样本,将该测试样本与所有自训练样本的最小距离与该测试样本与所有检测器的最小距离进行比较,可以判断该测试样本是否为非自。实验证明,该方法可以提高检测速度和检测率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Intrusion Detection Method Based on Artificial Immune System
Use the algorithm of generating variable-radius detectors to generate detectors. Analyze different effects on detection results by choosing different radii. Test samples need to compare with all detectors to detect intrusions. When the number of detectors is large, the detection speed is slow. Cluster near detectors into an area. The test samples which fall in this area only compare with the detectors in this area not all detectors, so the times of comparing are reduced and the detection speed is increased. For the test sample falling in some area of non-self space which is not covered by any detector, comparing the minimum distance between this test sample and all self training samples with the minimum distance between this test sample and all detectors can judge whether this test sample is non-self It is proved by experiments that this method can increase the detection speed as well as detection rate.
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