| 基于Monte Carlo估计的免疫检测器分布优化算法 |
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| 引用本文： | 刘海龙,张凤斌,席亮.基于Monte Carlo估计的免疫检测器分布优化算法[J].计算机应用,2013,33(3):723-726. |
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| 作者姓名： | 刘海龙 张凤斌 席亮 |
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| 作者单位： | 1.哈尔滨理工大学 计算机科学与技术学院,哈尔滨 150080;
2.哈尔滨师范大学 计算机科学与技术学院,哈尔滨 150025 |
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| 基金项目： | 国家自然科学基金资助项目(60671049, 61172168)。 |
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| 摘 要： | 针对免疫实值检测器的黑洞和边界入侵问题,分析规模对检测性能的影响,提出一种基于Monte Carlo估计的检测器分布优化算法,以Monte Carlo方法估计检测器对非自体空间的覆盖效果作为算法结束的条件,通过优秀子代替代不合时宜的父代来完成检测器的分布优化处理。经实验测试表明,该算法不仅可以有效地降低黑洞,而且能够以更少的检测器更精确地覆盖非自体空间,从而提升检测器的检测性能。
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| 关 键 词： | 入侵检测 免疫检测器 分布优化 否定选择算法 Monte Carlo估计 |
| 收稿时间： | 2012-09-18 |
| 修稿时间： | 2012-10-28 |
Immune detector distribution optimization algorithm with Monte Carlo estimation |
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| LIU Hailong ZHANG Fengbin XI Liang.Immune detector distribution optimization algorithm with Monte Carlo estimation[J].journal of Computer Applications,2013,33(3):723-726. |
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| Authors: | LIU Hailong ZHANG Fengbin XI Liang |
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| Affiliation: | 1. College of Computer Science and Technology, Harbin University of Science and Technology, Harbin Heilongjiang 150080, China;
2. College of Computer Science and Technology, Harbin Normal University, Harbin Heilongjiang 150025, China |
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| Abstract: | In order to avoid lots of holes among mature immune detectors and deal with the problem of boundary invasion in intrusion detection, analyzing the relationship between number of detectors and detection performance, a detector distribution optimization algorithm with Monte Carlo estimation was proposed: evaluating the coverage of detectors by the Monte Carlo method, and updating the detector set by the offspring to improve detectors' distribution. The experimental tests demonstrate that the algorithm can not only decrease the holes but also achieve a more precise coverage of the nonself space with fewer detectors, and increase the detector's detection performance. |
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| Keywords: | intrusion detection immune detector distribution optimization negative selection algorithm Monte Carlo estimation |
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