| 一种改进的静态克隆选择算法及其应用研究 |
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| 引用本文： | 孙力娟,冯莉,王汝传. 一种改进的静态克隆选择算法及其应用研究[J]. 计算机工程, 2006, 32(19): 149-150 |
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| 作者姓名： | 孙力娟 冯莉 王汝传 |
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| 作者单位： | 南京邮电大学计算机学院,南京,210003 |
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| 基金项目： | 江苏省高校自然科学基金 |
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| 摘 要： | 建立了一个基于人工免疫原理的入侵检测系统模型，该模型融合了智能协议分析、克隆选择、人工免疫、遗传算法等多种智能技术，对其中的克隆选择算法进行了研究，对Forrest的静态克隆选择算法提出了改进方案。仿真实验表明，改进算法在性能上优于Forrest的静态克隆选择算法。
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| 关 键 词： | 人工免疫 入侵检测 检测子 静态克隆选择算法 |
| 文章编号： | 1000-3428（2006）19-0149-02 |
| 收稿时间： | 2005-10-02 |
| 修稿时间： | 2005-10-02 |
Improved Static Clonal Selection Algorithm and Its Application Research |
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| SUN Lijuan,FENG Li,WANG Ruchuan. Improved Static Clonal Selection Algorithm and Its Application Research[J]. Computer Engineering, 2006, 32(19): 149-150 |
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| Authors: | SUN Lijuan FENG Li WANG Ruchuan |
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| Affiliation: | College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003 |
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| Abstract: | This paper establishes the IDS(Intrusion Detection System) model based on artificial immune, which is based on multiple intelligent technologies such as intelligent protocol analysis, clonal selection algorithm, artificial immune system and genetic algorithm. It takes further research on the clonal selection algorithm, and puts forward an improved scheme of Forrest’s static clonal selection algorithm. The simulation results indicate that the improved algorithm is superior to Forrest’s static clonal selection algorithm in performance. |
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| Keywords: | Artificial immune Intrusion detection Detector Static clonal selection algorithm |
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