An Intelligent System to Assessing Information Systems Security Risks in Electronic Business

被引：0
|
作者：
Feng, Nan [1 ]
Xie, Jing [1 ]
Chang, Peng [1 ]
机构：
[1] Tianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China
来源：
2012 INTERNATIONAL SYMPOSIUM ON INFORMATION SCIENCE AND ENGINEERING (ISISE) | 2012年
关键词：
information systems; genetic algorithm; bayesian networks; electronic business; MANAGEMENT;
D O I：
10.1109/ISISE.2012.76
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In electronic business environment, it is critical for an enterprise to assess information systems security risks. In this paper, an intelligent system for information systems security risk assessment is proposed. In order to identify the security risks in an enterprise, the proposed system utilizes genetic algorithm to search the rules of risk identification based on historical data. According to the results of risk identification, a BN is developed to predict security risks, identify sources of risks, and take proper measure to reduce risk occurrence probability in the information systems. Finally, the system is further demonstrated and validated via a case study.
引用
收藏
页码：303 / 306
页数：4
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