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用遗传算法改进基于专家系统的入侵检测系统 被引量:1

Improvement of network intrusion detection systems based on expert system by genetic algorithms
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摘要 基于专家系统的入侵检测系统的检测性能很大程度依赖于专家系统的规则集。为了提高基于专家系统的入侵检测系统的检测能力,使用遗传算法来对专家系统的规则集进行动态更新。但是基本遗传算法并不能有效对规则集进行动态更新,所以从编码、适应度函数、交叉等几个方面对遗传算法进行了改进。对如何使用改进的遗传算法对专家系统的规则集进行动态更新提出了一种实现方案。 The performance of the network int;'usion detection system based on expert system depends on the rules of the experts system. To improve the performance of the network intrusion detection system based on expert system, the genetic algorithms is applied to update the rules of experts system. But the basic genetic algorithm is not adapted to do that. The genetic algorithm is improved in coding, fitness function, crossover etc. A scheme is designed.
出处 《计算机工程与设计》 CSCD 北大核心 2007年第9期2005-2007,共3页 Computer Engineering and Design
关键词 入侵检测 专家系统 遗传算法 规则集 检测规则 intrusion detection system (IDS) expert system genetic algorithms rule sets detected rule
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