| 基于模式识别的入侵检测模型 |
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| 引用本文： | 赵丽萍.基于模式识别的入侵检测模型[J].电脑开发与应用,2008,21(6):46-48. |
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| 作者姓名： | 赵丽萍 |
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| 作者单位： | 华东交通大学信息工程学院,南昌,330013 |
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| 摘 要： | 生物免疫进化理论揭示了完美自然免疫机制的关键在于基于模式的病原体的识别。免疫系统中模式识别的最基本的好处是：基于模式的比较和识别比模式中个成员的比较和识别更加高效。计算机网络安全系统在功能性上与生物免疫系统非常相似。将模式识别机制应用于计算机网络安全领域，主要讨论了多元化静态分析法的应用和遗传算法的应用。
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| 关 键 词： | 网络安全 人工免疫 模式识别 多元化静态分析 遗传算法 |
| 文章编号： | 1003-5850(2008)06-0046-03 |
| 修稿时间： | 2008年1月2日 |
Research on Intrusion Detection based on Pattern Recognition |
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| Zhao Liping.Research on Intrusion Detection based on Pattern Recognition[J].Computer Development & Applications,2008,21(6):46-48. |
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| Authors: | Zhao Liping |
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| Affiliation: | Zhao Liping |
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| Abstract: | The latest advances on modern biology immune evolution theory reveal that the key of consummate nature immune mechanism is pathogens recognition based on pattern.The basic benefit of pattern recognition in the immune system is that comparison and recognition based on pattern is certainly more efficient than those of individual member in the pattern.The computer network security system is very similar in functionality to the nature immune system.This paper mainly discusses application of pattern recognition mechanism to the computer network security.The applications of multivariate static analysis and genetic algorithm are discussed. |
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| Keywords: | network security artificial immunology pattern recognition multivariate static analysis genetic algorithm |
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