An evolutionary system architecture for information protection

被引：0
|
作者：
Isazadeh, Ayaz [1 ]
Nouri, Hamid [1 ]
Rezvan, Maral [1 ]
机构：
[1] Tabriz Univ, Dept Comp Sci, Tabriz, Iran
来源：
APPLIED MATHEMATICS AND COMPUTATION | 2008年 / 197卷 / 02期
关键词：
information systems; information assurance; fuzzy classifiers; genetic algorithm;
D O I：
10.1016/j.amc.2007.08.038
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
This paper presents the architectural issues of a system being proposed for information security assurance check. The system is intended to extract certain parameters from network map, risk analysis, fault tree, user interface analysis, data sensitivity and gateways analysis. Using these parameters as input a fuzzy classification system would identify the normal and vulnerable points in a given information system. A genetic search technique would also be used to find the related and appropriate rules for a given set of inputs. (c) 2007 Elsevier Inc. All rights reserved.
引用
收藏
页码：687 / 691
页数：5
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