| 基于免疫原理的主机静态系统资源异常检测算法 |
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| 引用本文： | 郭振河,谭营,刘政凯.基于免疫原理的主机静态系统资源异常检测算法[J].小型微型计算机系统,2005,26(11):1919-1922. |
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| 作者姓名： | 郭振河 谭营 刘政凯 |
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| 作者单位： | 中国科学技术大学,电子工程与信息科学系,安徽,合肥,230027 |
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| 基金项目： | 国家自然科学基金项目（60273100）资助 |
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| 摘 要： | 基于免疫系统抗体多样性和异己检测原理，深入进行了计算机静态资源异常检测算法的研究．首先，分析了探测器表达多样性与检测漏洞的关系；然后，在此基础之上提出了计算机静态资源异常检测算法（SRAnDA）．最后对算法在多种数据集上进行了全面的实验，并与MD5算法进行了比较．结果表明，该算法在计算复杂度和空间复杂度两方面均优于MD5算法．在计算机免疫系统静态资源的异常检测中具有很大应用前案．
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| 关 键 词： | 免疫系统 异常检测 计算机安全 计算机静态资源 |
| 文章编号： | 1000-1220（2005）11-1919-04 |
| 收稿时间： | 2004-05-09 |
| 修稿时间： | 2004-05-09 |
Computer Static System Resource Anomaly Detection Algorithm Based on Immune Principle |
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| GUO Zhen-he,TAN Ying,LIU Zheng-kai.Computer Static System Resource Anomaly Detection Algorithm Based on Immune Principle[J].Mini-micro Systems,2005,26(11):1919-1922. |
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| Authors: | GUO Zhen-he TAN Ying LIU Zheng-kai |
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| Affiliation: | Department of Electronic Engineering and Information, University of Science and Technology, Hefei 230027 ,China |
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| Abstract: | Based on the principle of non-self detection and diversity of Ab,this paper studies anomaly detection algorithm of computer static resource.First of all,the relationship between the diversity of detector with detection holes is analyzed.Then,this paper proposes Computer Static System Resource Anomaly Detection Algorithms(SRAnDA).Finally,The proposed algorithm is verified by different datasets,and compared to MD5.It is turned out that its computational complexity and space complexity is superior to MD5,which indicates that the algorithm will has great prospect onto anomaly detection of Computer Immune System. |
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| Keywords: | immune system anomaly detection computer security computer static resource |
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