A Method of Risk Assessment of Information Security Based on Artificial Neural Network

被引：0
|
作者：
Zhao, D. M. [1 ]
Liu, J. X. [1 ]
Zu, J. X. [1 ]
机构：
[1] Hebei Normal Univ, Coll Informat Technol, Shijiazhuang, Hebei, Peoples R China
来源：
ITESS: 2008 PROCEEDINGS OF INFORMATION TECHNOLOGY AND ENVIRONMENTAL SYSTEM SCIENCES, PT 1 | 2008年
关键词：
Information Security; Risk Assessment; Artificial Neural Network; BP neural network; Fuzzy-ANN;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Evaluating risk effectively, selecting effective defense measures and defending information threats actively are the key points of resolving security problems of information system. Focusing on the uncertainty and complexity of risk assessment of information security, we integrated the artificial neural network (ANN) to apply them in studying risk assessment. Since Back-Propagation(BP) neural network is suited for the quantity data processing, and poor to qualitative analyze, and risk is uncertain, a risk assessment method based on the fuzzy-ANN is proposed. The simulation results show that the trained ANN can estimate the degree of risk factors real time.
引用
收藏
页码：246 / 252
页数：7
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