基于人工免疫模型的入侵检测系统中检测器生成算法的分析与改进

Abstract

Abstract:

The Multilevel Negative Selection Algorithm was improved by introducing a new detector model and generating method. The new algorithm can solve the problem of a high number of detectors. Therefore, both the generation efficiency and the detecting efficiency are improved as well. The experimental results prove that both the number of detectors and the time for generating detectors are decreased greatly by the improved algorithm on the premise that the precision of detection is unchanged, making it approach the realtime detection.

Key words: intrusion detection, artificial immune, detector

CLC Number:

TP309

HU Liang, WANG Cheng-Meng, DIAO Kuo, NU Er-Bu-Li, JIANG Qian. Research and Improvement of Detector Generation Algorithm inIntrusion Detection System Based on Artificial Immune Model[J].J4, 2010, 48(1): 67-72.

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Research and Improvement of Detector Generation Algorithm inIntrusion Detection System Based on Artificial Immune Model

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