| 基于模糊逻辑和免疫遗传算法的入侵检测 |
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| 引用本文： | 蔡伟鸿,刘震,王美林.基于模糊逻辑和免疫遗传算法的入侵检测[J].计算机工程,2006,32(7):151-153. |
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| 作者姓名： | 蔡伟鸿 刘震 王美林 |
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| 作者单位： | 汕头大学计算机科学与工程系,汕头,515063 |
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| 基金项目： | 广东省科技攻关项目;广东省博士启动基金 |
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| 摘 要： | 随着网络入侵方法和网络计算环境的变化，使得入侵越来越难以被检测和防范。该文论述了通过使用模糊数据挖掘和免疫遗传算法，分别对正常行为模式和待检测行为模式建立关联、序列规则集，进而通过比较待检测行为模式的规则集与正常行为模式的规则集的相似度，确定是否有入侵事件发生。经过仿真测试，证明该方法可以有效地检测异常攻击事件。
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| 关 键 词： | 入侵检测 模糊逻辑 免疫遗传算法 |
| 文章编号： | 1000-3428（2006）07-0150-03 |
| 收稿时间： | 04 5 2005 12:00AM |
| 修稿时间： | 2005-04-05 |
Intrusion Detection Based on Fuzzy Logic and Immune GA |
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| CAI Weihong,LIU Zhen,WANG Meilin.Intrusion Detection Based on Fuzzy Logic and Immune GA[J].Computer Engineering,2006,32(7):151-153. |
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| Authors: | CAI Weihong LIU Zhen WANG Meilin |
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| Affiliation: | Department of Computer Science and Engineering, Shantou University, Shantou 515063 |
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| Abstract: | The ever-rising complexity of intrusion methods and communication networks has resulted in increased difficulty in detecting intrusion. Using the fuzzy logic with data mining and immune genetic algorithm, this paper creates respectively the rule collection of natural behavior mode and inspecting behavior mode. Whether or not the intrusion is happened can be judged by the difference between the two rule collections. Experiment results indicate that the algorithm has good efficiency in identifying the abnormal intrusion. |
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| Keywords: | Intrusion detection Fuzzy logic Immune genetic algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
