| Immune Recognition Method Based on Analogy Reasoning in Intrusion Detection System |
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| 作者姓名： | ZHANG Changyou CAO Yuanda YANG Minghua YU Jiong ZHU Dongfeng |
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| 作者单位： | [1]School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China [2]Computer Science and Technology Department, Shijiazhuang Railway Institute, Shijiazhuang 050043, Hebei, China [3]College of Information University, Wulumuqi 830046, Science and Engineering, Xinjiang Xinjiang, China |
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| 摘 要： | In this paper, we propose an analogy based immune recognition method that focuses on the implement of the clone selection process and the negative selection process by means of analogy similarity. This method is applied in an IDS （Intrusion Detection System） following several steps. Firstly, the initial abnormal behaviours sample set is optimized through the combining of the AIS （Artificial Immune System） and the genetic algorithm. Then, the abnormity probability algorithm is raised considering the two sides of abnormality and normality. Finally, an intrusion detection system model is established based on the above algorithms and models.
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| 关 键 词： | 免疫识别 类似推理 相似点 遗传算法 侵入检测系统 |
| 文章编号： | 1007-1202（2006）06-1839-05 |
| 收稿时间： | 2006-04-30 |
Immune recognition method based on analogy reasoning in intrusion detection system |
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| ZHANG Changyou CAO Yuanda YANG Minghua YU Jiong ZHU Dongfeng.Immune Recognition Method Based on Analogy Reasoning in Intrusion Detection System[J].Wuhan University Journal of Natural Sciences,2006,11(6):1839-1843. |
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| Authors: | Zhang Changyou Cao Yuanda Yang Minghua Yu Jiong Zhu Dongfeng |
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| Institution: | (1) School of Computer Science and Technology, Beijing Institute of Technology, 100081 Beijing, China;(2) Computer Science and Technology Department, Shijiazhuang Railway Institute, 050043 Shijiazhuang, Hebei, China;(3) College of Information Science and Engineering, Xinjiang University, 830046 Wulumuqi, Xinjiang, China |
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| Abstract: | In this paper, we propose an analogy based immune recognition method that focuses on the implement of the clone selection process and the negative selection process by means of analogy similarity. This method is applied in an IDS(Intrusion Detection System) following several steps. Firstly, the initial abnormal behaviours sample set is optimized through the combining of the AIS(Artificial Immune System) and the genetic algorithm. Then, the abnormity probability algorithm is raised considering the two sides of abnormality and normality. Finally, an intrusion detection system model is established based on the above algorithms and models. |
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| Keywords: | immune recognition analogy reasoning similarity genetic algorithm intrusion detection system |
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