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基于规则推理的FPN误用入侵检测方法
引用本文:张白一,崔尚森. 基于规则推理的FPN误用入侵检测方法[J]. 计算机工程, 2006, 32(14): 119-121
作者姓名:张白一  崔尚森
作者单位:1. 长安大学信息工程学院,西安,710064
2. 长安大学信息工程学院,西安,710064;西安交通大学电信工程学院,西安,710049
摘    要:针对网络入侵攻击活动的模糊性,提出了一种基于模糊推理的模糊Petri网(FPN)误用入侵检测方法。该方法定义了一个六元组FPN,并将模糊产生式规则精化为两种基本类型。在此基础上给出了FPN表示模糊规则的模型、推理过程和基于FPN的推理算法。最后通过入侵检测的实例对该方法的正确性和有效性进行了验证,结果表明该方法推理过程简单直观、容易实现,而且具有并行推理能力,可适用于大规模的FPN模型,是误用入侵检测技术的一种非常有效的解决方案。

关 键 词:入侵检测  模糊Petri网  模糊推理
文章编号:1000-3428(2006)14-0119-03
收稿时间:2006-02-09
修稿时间:2006-02-09

An Intrusion Detection Method Based on Reasoning Fuzzy Petri Net
ZHANG Baiyi,CUI Shangsen. An Intrusion Detection Method Based on Reasoning Fuzzy Petri Net[J]. Computer Engineering, 2006, 32(14): 119-121
Authors:ZHANG Baiyi  CUI Shangsen
Affiliation:1. College of Information and Engineering, Chang’an University, Xi’an 710064; 2. School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an 710049
Abstract:According to the characteristics of the concurrence of network intrusion and the uncertainty of an attack action, a kind of intrusion detection method based on fuzzy Petri net model is extracted to express the knowledge and the reasoning rules. Firstly, the paper defines 6-tuple as the fuzzy Petri net structure. Secondly, two basic types of the fuzzy production rules are extracted from a number of practical rules. And then a fuzzy reasoning algorithm is programmed. Using a practical instance to test the algorithm at the last, the results show that the algorithm is simple, high-powered and universal. Specially, it has parallel reasoning ability and fits reasoning for the large-scale FPN model. It is an efficient method for intrusion detection.
Keywords:Intrusion detection   Fuzzy Petri nets   Fuzzy reasoning
本文献已被 CNKI 维普 万方数据 等数据库收录!
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