| 基于危险理论的层次化网络入侵免疫 |
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| 引用本文： | 宋法根,宋如顺,陈虎,陈思捷.基于危险理论的层次化网络入侵免疫[J].计算机安全,2009(1):1-3. |
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| 作者姓名： | 宋法根 宋如顺 陈虎 陈思捷 |
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| 作者单位： | 南京师范大学,数学与计算机科学学院,江苏,南京,210097 |
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| 基金项目： | 国家"211"工程建设项目，江苏省自然科学基金 |
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| 摘 要： | 人们根据生物免疫的原理，建立人工免疫系统来保护计算机不受网络攻击。但是，以往的人工免疫系统只是模仿生物的免疫机制，而很少考虑计算机网络结构的特点，使得检测的漏报率高，误报率也高。利用危险理论的基本原理，提出层次化的网络免疫系统，使得免疫反应更有针对性，从而更好地保护计算机不受网络的攻击。
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| 关 键 词： | 生物免疫 人工免疫 计算安全 危险理论 危险信号 入侵检测 |
Intrusion Detection Artificial Immune System Based On Danger Theory |
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| SONG Fa-gen,SONG Ru-shun,CHEN Hu,CHEN Si-jie.Intrusion Detection Artificial Immune System Based On Danger Theory[J].Network & Computer Security,2009(1):1-3. |
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| Authors: | SONG Fa-gen SONG Ru-shun CHEN Hu CHEN Si-jie |
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| Affiliation: | (NanJing Normal University, Nanjing, Jiangsu 210097, China) |
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| Abstract: | People build artificial immune system to protect computer from attacking based on the principle of immunity. But they don＇ t take into consideration of the structure of Computer network, as a result the rate of fail alarm and false alarm is very high. In this paper, we give a Hierarchical network, immune system which based on the danger theory. This immune system makes the response more targeted and can give better protect of the computer and the network. |
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| Keywords: | artificial immune system artificial immune system Computer security danger theory dangerous signal intrusion detection |
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