| 基于人工免疫的入侵检测模型研究 |
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| 引用本文： | 肖锋,杨树堂,陆松年,李建华.基于人工免疫的入侵检测模型研究[J].计算机应用与软件,2008,25(2):258-260. |
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| 作者姓名： | 肖锋 杨树堂 陆松年 李建华 |
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| 作者单位： | 上海交通大学信息安全工程学院,上海,200030 |
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| 摘 要： | 根据人工免疫原理,采用阴性选择算法和r-连续位匹配算法,建立了一个新的入侵检测模型,该模型具有智能化入侵检测系统所要求的自组织、自学习、自适应等特点.研究表明,该模型可有效提高入侵检测系统的检测率,降低其误警率.
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| 关 键 词： | 人工免疫 免疫算法 抗体 抗原 |
| 收稿时间： | 2006-05-25 |
| 修稿时间： | 2006年5月25日 |
THE RESEARCH ON INTRUSION DETECTION BASED ON ARTIFICIAL IMMUNE THEORY |
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| Xiao Feng,Yang Shutang,Lu Songnian,Li Jianhua.THE RESEARCH ON INTRUSION DETECTION BASED ON ARTIFICIAL IMMUNE THEORY[J].Computer Applications and Software,2008,25(2):258-260. |
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| Authors: | Xiao Feng Yang Shutang Lu Songnian Li Jianhua |
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| Affiliation: | Xiao Feng Yang Shutang Lu Songnian Li Jianhua (College of Information Security,Shanghai Jiaotong University,Shanghai 200030,China) |
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| Abstract: | According to the artificial immune theorem, a new IDS model based on negative select algorithm and r-bit sequence match algorithm is established, It has the properties of self-organizing, self-learning, self-adaptation and so on, The research indicates that this model can improve the detection rate of IDS effectively and reduce the probability of false positive alerts. |
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| Keywords: | Artificial immune Immune algorithm Antibody Antigen |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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