| 基于网络数据基因表达方法的人工免疫入侵检测技术 |
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| 引用本文： | 苏波. 基于网络数据基因表达方法的人工免疫入侵检测技术[J]. 四川建材学院学报, 2009, 0(4): 75-78 |
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| 作者姓名： | 苏波 |
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| 作者单位： | 西南科技大学网络信息中心,四川绵阳621010 |
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| 基金项目： | 西南科技大学青年基金（08zx3156）. |
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| 摘 要： | 针对计算机入侵检测和生物免疫所具有的高度相似性，提出了一种基于网络数据基因表达方法基础之上的人工免疫入侵检测模型。使用了克隆选择算法，并通过适应度和亲和度相结合的保优策略，解决了检测器过早收敛的问题。分析了该系统模型的工作流程，介绍了实验情况并对今后的研究方向进行了展望。
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| 关 键 词： | 入侵检测 网络数据 基因 人工免疫 |
Intrusion Detection Algorithms of Artificial Immune System Based on Gene Expression of Network Data |
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| SU Bo. Intrusion Detection Algorithms of Artificial Immune System Based on Gene Expression of Network Data[J]. , 2009, 0(4): 75-78 |
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| Authors: | SU Bo |
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| Affiliation: | SU Bo ( Center of Internet and Information, Southwest University of Science and Technology, Mianyang 621010, Sichuan, China) |
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| Abstract: | In view of the Computer Intrusion Detection has a similarity with biology immune system, a novel model of intrusion detection algorithms of artificial immune system based on Gene expression of Network data was put forward. By using colon selecting algorithms combining similarity and affinity, the premature convergence of detecter was solved. Analysising the workflow of the model and the result of the test, the development directions were discussed. |
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| Keywords: | Intrusion detection Network data Gene Artificial immune system |
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