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上海电力大学学报:2004,20(3):51-54
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一个基于遗传算法的入侵检测模型
(1.上海电力学院 计算机科学系, 上海 200090;2.上海电力学院 信息与控制技术系, 上海 200090;3.桂林航天工业高等专科学校 计算机系, 广西 桂林 541004)
An Intrusion Detection Model Based on Genetic Algorithms
(1.Dept. of Computing Science, Shanghai University of Electric Power, Shanghai 200090, China;2.Information and Control Department, Shanghai University of Electric Power, Shanghai 200090, China;3.Dept. of Computing Sincence, Guilin College of Aerospace Technology, Guilin 541004, China)
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投稿时间:2003-12-17    
中文摘要: 通过对常见入侵检测模型的分析,在归纳相似的防御特征、抛弃具体的试验环境的基础上,提出了一种基于遗传算法的入侵检测模型,把选择算子、交叉算子和变异算子运用到模型设计之中,并采用仿真试验来模拟算子的运作.
Abstract:This paper presents an intrusion detection model based on genetic algorithms after analyzing some common intrusion detection models, seeking their similarities and discarding some special circumstances. The model includes selection, crossover and mutation. Finally, the model working is simulated by an experiment.
文章编号:20040311     中图分类号:    文献标志码:
基金项目:上海教委青年基金(KZ-2003-10)
引用文本:
王勇,徐建平,李志斌,等.一个基于遗传算法的入侵检测模型[J].上海电力大学学报,2004,20(3):51-54.
WANG Yong,XU Jian-ping,LI Zhi-bin,et al.An Intrusion Detection Model Based on Genetic Algorithms[J].Journal of Shanghai University of Electric Power,2004,20(3):51-54.