| AIB-DBIDM:一种基于人工免疫的数据库入侵检测模型 |
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| 引用本文： | 赵敏,王红伟,张涛,张毓森.AIB-DBIDM:一种基于人工免疫的数据库入侵检测模型[J].计算机研究与发展,2009,46(Z2). |
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| 作者姓名： | 赵敏 王红伟 张涛 张毓森 |
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| 作者单位： | 解放军理工大学指挥自动化学院,南京,210007 |
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| 摘 要： | 现有基于人工免疫原理的网络和操作系统级别的入侵检测系统仅仅依靠网络层和底层操作系统提供的记录信息,而数据库中的数据具有自己的结构和语义.针对现有入侵检测系统无法保证数据库入侵检测的效率和精度的问题,设计了一个基于人工免疫原理的数据库入侵检测模型AIB-DBIDM并实现了原型系统.测试表明该系统对数据库异常入侵具有较高的检测率、较低的误报率和漏报率.
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| 关 键 词： | 人工免疫 入侵检测 肯定选择 基因库 待定检测器 |
AIB-DBIDM:A Database Intrusion Detection Model Based on Artificial Immune Technology |
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| Zhao Min,Wang Hongwei,Zhang Tao,Zhang Yusen.AIB-DBIDM:A Database Intrusion Detection Model Based on Artificial Immune Technology[J].Journal of Computer Research and Development,2009,46(Z2). |
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| Authors: | Zhao Min Wang Hongwei Zhang Tao Zhang Yusen |
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| Abstract: | The current artifieial immune-based intrusion detection systems use information from OS or network,but the data in database has its own structure and semantics.They can not detect database intrusion exactly and efficiently.To address these problems,an artificial immune-based database intrusion model is brought forward and a prototype system is implemented.The experiment results show that the system can obtain higher detection rate and decrease the false positive rate. |
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| Keywords: | artificial immune intrusion detection affirmation selection gene pool pending detection |
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