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利用KNN算法实现基于系统调用的入侵检测技术
Intrusion Detection Technology Based on System Calls by Using KNN Algorithm
【摘要】 该算法来自一种文本分类算法-KNN算法,文中给出了用该算法实现的入侵检测系统模型.利用该算法实现的基于系统调用的异常入侵检测系统,克服了传统基于系统调用入侵检测方法的缺陷,实验结果体现了该方法的有效性和检测的高效性。
【Abstract】 This paper introduced a novel approach ——(the K Nearest Neighbor (KNN))which comes from a kind of text categorization to detecting intrusions by using system call method. We proposed the structure of intrusion detection system based on this algorithm. The problems of old intrusion detection techno logy based on systems calls have been solved by KNN algorithm. The experiments show that the proposed method is practical and efficient.
【关键词】 入侵检测;
系统调用;
异常检测;
KNN算法;
【Key words】 intrusion detection; system call; abnormal detection; KNN algorithm.;
【Key words】 intrusion detection; system call; abnormal detection; KNN algorithm.;
【基金】 教育部重点实验室开放研究基金(TKLJ0203)
- 【文献出处】 微计算机信息 , 编辑部邮箱 ,2006年27期
- 【分类号】TP393.08
- 【被引频次】5
- 【下载频次】183