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基于加权模糊推理的电子取证入侵重构系统
引用本文:朱剑,张基温.基于加权模糊推理的电子取证入侵重构系统[J].计算机工程与设计,2006,27(14):2663-2666.
作者姓名:朱剑  张基温
作者单位:江南大学,信息工程学院,江苏,无锡,214122
摘    要:针对目前电子取证入侵重构多用人工分析的方式导致效率低的问题,将AI领域中加权模糊推理方法引入电子取证入侵重构分析中,建立了基于加权模糊推理的电子取证入侵重构专家系统,该系统采用预先定义好的入侵特征,与取证现场获取的入侵痕迹相匹配,并结合相应的权值来推断实际可能的攻击场景。

关 键 词:电子取证  入侵重构  人工智能  加权模糊推理  专家系统
文章编号:1000-7024(2006)14-2663-04
收稿时间:2005-05-16
修稿时间:2005-05-16

Intrusion reconstruction system of computer forensics based on fuzzy reasoning with weights
ZHU Jian,ZHANG Ji-wen.Intrusion reconstruction system of computer forensics based on fuzzy reasoning with weights[J].Computer Engineering and Design,2006,27(14):2663-2666.
Authors:ZHU Jian  ZHANG Ji-wen
Affiliation:School of Information Engineering, Southern Yangtze University, Wuxi 214122, China
Abstract:Aimed at the problem of inefficient manual analysis for intrusion reconstruction of computer forensics,the method "Fuzzy Reasoning with Weights" in AI(artificial intelligence) is introduced to intrusion reconstruction of computer forensics.The intrusion re-construction expert system is built based on fuzzy reasoning with weights.This system predefines intrusion traits and compares them with intrusion traces in forensics scene.And the real attack scenarios are reconstructed by using corresponding weights in the system.
Keywords:computer forensics  intrusion reconstruction  AI  fuzzy reasoning with weights  expert system  
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