计算机与现代化 ›› 2010, Vol. 1 ›› Issue (3): 118-3.doi: 10.3969/j.issn.1006-2475.2010.03.034

• 信息安全 • 上一篇    下一篇

基于负选择算法的异常入侵检测

许铭,方贤进,黄莉   

  1. 安徽理工大学计算机科学与工程学院,安徽 淮南232001
  • 收稿日期:2009-10-28 修回日期:1900-01-01 出版日期:2010-03-20 发布日期:2010-03-20

Abnormal Intrusion Detection Based on Immune Negative Selection Algorithm

XU Ming,FANG Xian-jin,HUANG Li   

  1. School of Computer Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China
  • Received:2009-10-28 Revised:1900-01-01 Online:2010-03-20 Published:2010-03-20

摘要: 自然免疫系统的保护机制为设计计算机入侵检测带来了巨大的灵感,并且它是一种能够解决复杂入侵问题的信息安全技术。本文提出一个新的异常入侵检测算法,该算法能够通过产生有效率的检测因子来检测即时的入侵。

关键词: 入侵检测, 负选择算法, r连续位匹配规则

Abstract: The protection mechanism of natural immune system brings us great inspiration for the design of computer intrusion detection, and it supports an information security technology which can solve complex intrusion problem. This paper offers a new abnormal intrusion detection algorithm which can generate effective detectors and detect the realtime intrusion.

Key words: intrusion detection, negative selection algorithm, rbits continuous matching rule