| 基于自适应遗传算法的入侵检测方法 |
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| 引用本文： | 鲁立. 基于自适应遗传算法的入侵检测方法[J]. 科学技术与工程, 2012, 12(33): 9075-9078 |
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| 作者姓名： | 鲁立 |
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| 作者单位： | 武汉软件工程职业学院,武汉,430205 |
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| 摘 要： | 提出了一种基于自适应遗传算法的入侵检测方法。该方法采用自适应的适应度函数、交叉概率及变异概率取代固定的适应度函数、交叉概率及变异概率来改进遗传算法并用于入侵检测中。实验结果证明算法显著提高了自身收敛性能,具有很强的自适应能力,用于入侵检测中在保证较高检测率的基础上,对不同类型的攻击检测具有良好的均衡性。
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| 关 键 词： | 遗传算法 自适应 入侵检测 网络安全 |
| 收稿时间： | 2012-07-28 |
| 修稿时间： | 2012-07-28 |
Intrusion detection method based on adaptive genetic algorithm |
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| Lu Li. Intrusion detection method based on adaptive genetic algorithm[J]. Science Technology and Engineering, 2012, 12(33): 9075-9078 |
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| Authors: | Lu Li |
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| Affiliation: | (Wuhan Vocational College of Software and Engineering,Wuhan 430205,P.R.China) |
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| Abstract: | This paper presents an intrusion detection method based on adaptive genetic algorithm, the adaptive fitness function, crossover probability and mutation probability replace the fixed fitness function, crossover probability and mutation probability to improve the genetic algorithm for intrusion detection.The experimental results show that the improved genetic algorithm to significantly improve the convergence performance, and has a strong adaptive ability, and guarantee higher detection rate on the basis of different types of attack detection has a good balance. |
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| Keywords: | Genetic algorithm adaptive intrusion detection network security |
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