| 基于免疫模型的网络入侵检测系统的研究 |
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| 引用本文： | 艾尼瓦尔,黄厚宽. 基于免疫模型的网络入侵检测系统的研究[J]. 太原师范学院学报(自然科学版), 2004, 3(2): 19-21 |
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| 作者姓名： | 艾尼瓦尔 黄厚宽 |
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| 作者单位： | 北京交通大学,计算机与信息技术学院,北京,100044 |
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| 摘 要： | 网络入侵检测的研究和系统的开发日益受到人们的重视,成为当今社会最热门的话题之一．目前存在的基于网络的入侵检测系统在很多方面不尽人意,存在许多缺点,其中最突出的两个问题是：漏报和误报率高,缺乏自适应．文章从生物免疫系统的结构出发,讨论了生物免疫系统和网络入侵检测系统结构的相似点,描述了生物免疫系统在网络入侵检测系统(NIDS)设计中的应用．同时．指出了如何降低误报和漏报率并提高系统的自适应能力。
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| 关 键 词： | 免疫模型 网络入侵检测系统 检测子 NIDS “非我” “自我” 记忆细胞 激活阈值 敏感度 |
| 文章编号： | 1672-2027(2004)02-0019-03 |
| 修稿时间： | 2004-01-10 |
Analysis on Immunity Based on Network Intrusion Detection System |
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| Anwar Huang Houkuan. Analysis on Immunity Based on Network Intrusion Detection System[J]. Journal of Taiyuan Normal University:Natural Science Edition, 2004, 3(2): 19-21 |
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| Authors: | Anwar Huang Houkuan |
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| Abstract: | Network intrusion detection system (NIDS) research and its application has attracted many fields of society and become one of the hottest research topics at present.The current NIDSs exist many drawbacks in many aspects,among of which the two outstanding problems are high ratio of false alarms and self-adaptation.It presented the application of based on human immune system in NIDSs by discussing analogous between NIDSs and human immune system. It also put forward how to reduce false alarms and to increase self-adaptation. |
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| Keywords: | immune system,intrusion detection,detector,NIDS," non-self" ," self" ,memory cell,activation threshold,sensitization, |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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