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基于负选择算法的异常入侵检测
引用本文:许铭,方贤进,黄莉.基于负选择算法的异常入侵检测[J].计算机与现代化,2010(3):118-120.
作者姓名:许铭  方贤进  黄莉
作者单位:安徽理工大学计算机科学与工程学院,安徽,淮南232001
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

Abnormal Intrusion Detection Based on Immune Negative Selection Algorithm
XU Ming,FANG Xian-jin,HUANG Li.Abnormal Intrusion Detection Based on Immune Negative Selection Algorithm[J].Computer and Modernization,2010(3):118-120.
Authors:XU Ming  FANG Xian-jin  HUANG Li
Affiliation:School of Computer Science and Engineering/a>;Anhui University of Science and Technology/a>;Huainan 232001/a>;China
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.
Keywords:intrusion detection  negative selection algorithm  r-bits continuous matching rule  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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