| 基于密度的异常检测算法在入侵检测系统中的应用 |
| |
| 引用本文： | 李循律,何钦铭. 基于密度的异常检测算法在入侵检测系统中的应用[J]. 江南大学学报(自然科学版), 2006, 5(5): 543-546 |
| |
| 作者姓名： | 李循律 何钦铭 |
| |
| 作者单位： | 浙江大学,计算机科学与技术学院,浙江,杭州,310027 |
| |
| 摘 要： | 给出了异常的定义,介绍了几种典型的异常检测算法并比较它们的优缺点,发现基于密度的异常检测算法的局部异常观点较符合现实生活中的应用.阐述了基于密度的异常检测算法的定义及其在入侵检测系统中的具体应用.
|
| 关 键 词： | 入侵检测 局部异常因子 异常检测 数据挖掘 |
| 文章编号： | 1671-7147（2006）05-0543-04 |
| 收稿时间： | 2005-03-10 |
| 修稿时间： | 2005-04-21 |
Application of Density-Based Outlier Algorithm in IIDS |
| |
| LI Xun-lv,HE Qin-ming. Application of Density-Based Outlier Algorithm in IIDS[J]. Journal of Southern Yangtze University:Natural Science Edition, 2006, 5(5): 543-546 |
| |
| Authors: | LI Xun-lv HE Qin-ming |
| |
| Affiliation: | College of Computer Seience, Zhejiang University, Hangzhou 310027, China |
| |
| Abstract: | With the development of the Internet,people pay more and more attention to the securiy of the Internet,and then promote the development of theories and techniques of IIDS system.The paper presents several definitions of outlier,introduces several typical outlier detect algorithms,compares their advantages and disadvantages,and finds out that the local outlier viewpoint of Density Based Outlier algorithm matches the practical application. Finally,the paper it introduces the Density Based Outlier algorithm in detail and gives an example to show how to apply the algorithm in IIDS. |
| |
| Keywords: | intrusion detection local outlier factor outlier detection data mining |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
