| 基于粗粒度模型遗传算法在网络入侵检测系统中的应用研究 |
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| 引用本文： | 罗安坤,李甦.基于粗粒度模型遗传算法在网络入侵检测系统中的应用研究[J].云南大学学报(自然科学版),2006(Z2). |
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| 作者姓名： | 罗安坤 李甦 |
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| 作者单位： | 云南大学信息学院 云南昆明650091 |
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| 基金项目： | 云南省教育厅应用基础研究重点项目(03Z180A) |
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| 摘 要： | 网络的发展越来越迅速,各种智能型的网络入侵检测系统也越来越受到人们的重视．本文在分析了各种入侵检测系统的基础上提出了一种基于粗粒度模型遗传算法的网络入侵检测系统,让各个处理器能够并行地进行遗传算法的操作,重新合理地设计了适应度函数,使遗传“基因”的取舍和利用更加合理,使算法的性能和运行速度得到了提高,充分发挥了遗传算法在网络入侵检测系统中的应用．
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| 关 键 词： | 网络入侵检测系统 并行遗传算法 智能 粗粒度模型 适应度函数 |
The apply research of genetic algorithm based on coarsegrained model in net-work intrusion setection system |
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| LUO An-kun,LI Su.The apply research of genetic algorithm based on coarsegrained model in net-work intrusion setection system[J].Journal of Yunnan University(Natural Sciences),2006(Z2). |
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| Authors: | LUO An-kun LI Su |
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| Abstract: | The development of the Internet is more and more fast, all kinds of intelligent net- work intrusion detection system(NIDS) are more recognized by people. This paper put forward a coarse-grained model genetic algorithm NIDS, let all processor can do genetic algorithm by attributed manner, at the same time, recommend an new operator, redesign a reasonable fitness function, let the use of "gene" is more reasonable, develop the performance and speed of the arithmetic, make full use of the genetic algorithm in NIDS. |
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| Keywords: | net-work intrusion detection system (NIDS) collateral genetic algorithm (AG) intelligence coarse-grained model fitness function |
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