孤立点挖掘技术在入侵检测系统中的应用
关键词：入侵检测；数据挖掘；孤立点；CLARANS算法； LOCI算法
The Application of Outlier Mining Technology in
Intrusion Detection
Abstract：With the fast development of the Internet, people urgently on technology with the ability of discovering new types of intrusion coming out endlessly. The combination of data mining and intrusion detection can make the intrusion detection system deal with a vast amount of data and have the ability of extension and self-study as well as enhance the detecting ability. According to the point of data, intrusion detection is a process of data analysis. The invasion which is obviously less than normal action in amount can be seen as the outlier .Therefore, outlier mining is a fundamental and important field in data mining, and it can be used to identify varieties or unknown invasions as one of tools for intrusion detection, which is of great value in promoting intrusion detection system. Focuses on introducing the CLARANS、LOCI algorithm of outlier mining, and to bring up the improved algorithm, which can reduce the computation effectively and mining the new outliers quickly when the dates updated. This thesis has high values.
Key Words: Intrusion Detection; Data Mining; Outlier; CLARANS; Algorithm; LOCI Algorithm
目 录
1.绪论 2
1.1研究背景 2
1.2研究意义 2
2.入侵检测与孤立点数据挖掘技术 3
2.1 入侵检测系统 3
2.2 数据挖掘 4
2.3 孤立点挖掘技术 4
3.CLARANS算法 4
3.1 CLARANS算法基本过程 5
3.2 改进思想 6
3.3 改进前后对比 6
4.LOCI孤立点算法 6
4.1LOCI算法 7
4.2 改进思想 8
4.3 改进前后对比 10
5.孤立点数据挖掘在入侵检测中的应用 10
5.1 系统总体结构 10
5.2 系统关键技术 11
6.结论 12
6.1 论文总结 12
6.2进一步方向 13
参考文献 13
致 谢 14,4051
孤立点挖掘技术在入侵检测系统中的应用
1.绪论
1.1研究背景
计算机网络的快速发展，极大的推动了世界进步，网络给人类带来无限好处的同时也带来信息污染、信息侵权，乃至信息犯罪等一系列的问题。由于计算机网络本身的开放性、信息的共享性以及网络协议设计中存在的安全缺陷等原因，导致分布在网络上的各个计算机系统频繁遭到各种非法入侵，计算机病毒严重泛滥，新的病毒不断产生，重要数据资源泄漏或遭到破坏，给计算机信息系统的正常运行造成了严重的危害，给电子商务和经济活动带来巨大损失，甚至已危及到国家安全。所以网络信息安全和保密已经是一个至关重要的问题。