基于加权模糊推理的网络安全系统评估分析  

Analysis of Network Security System Evaluation based on the Fuzzy Weighted Logic Reasoning

作　　者：何芸[1] 

机构地区：[1]云南交通职业技术学院交通信息工程学院,云南昆明650101

出　　处：《计算机安全》2013年第2期11-15,共5页Network & Computer Security

摘　　要：随着网络技术的飞速进步,各种文件、数据等软硬件资源共享非常便利,因此在信息的传输和存储中存在着严重的风险,特别是政府、军队、商业和个人的核心机密和重要数据都储存在互联计算机中,网络信息安全已成为当今信息安全研究的重要课题之一。在网络信息安全评估系统中,各项指标都直接关系着网络的可靠与安全性,因此进行可预知的安全评估、管理及控制将能够最大限度地减少由安全问题导致的信息与服务损失。近几年许多实例的评估分析都基于模糊综合评估方法,它具有比常规方法更优良的动态与静态性能,更适合于多项指标的系统评估,从实例出发,运用模糊理论和加权模糊推理方案,对网络信息系统各安全因素的模糊评价术语进行综合推理,为制定安全解决方案提供了重要依据。With the rapid progress of network technology, system resources can realize sharing all kinds of files, data and other software and hardware resources, but also bring the serious threat to give the information transmission and storage safety, especially the government, military, commercial and personal core confidential and important data are stored in the internet computer, network information security has become one of the important research topics of information security. In network information security evaluation system, the indicators have a direct relationship with the network＇s reliability and security, so predictable safety management and control will be able to minimize the safety problem caused by the loss of information and services, it has more excellent dynamic and static performance than conventional methods, which is more suitable for a number of indicators, to achieve scientific, reasonable, accurate and efficient evaluation correct result objective. This article apply the Practical examples, using fuzzy theory and fuzzy reasoning scheme to comprehensive reasoning terminology of the network information system, and providing important basis for the development of security solutions.

关 键 词：三角模糊数 加权模糊推理 模糊综合评估 制定安全解决方案 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]