A multi-target synthetic assessment approach for information systems security risk

摘要：

　　Increasing organizational dependence on the IS has led to a corresponding increase in the impact of information systems security (ISS) abuses.In this paper,we propose a multi-target synthetic assessment approach for ISS risk based on neural network.Firstly,an assessment system of ISS risk is established.Secondly,a trained neural network can endue the assessment approach with expert assessment knowledge in the way of joint weight,through its learning and adapting capability.Finally,the approach is capable to simulate expert assessment method by verifying the data of ISS risk assessment.

关键词： information systems security neural network risk assessment expert assessment method

作者: Nan Feng Jing Xie Yingxin Wu

作者单位: Tianjin University, 92 Weijin Road, Nankai District, Tianjin 300072, P.R, China

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 3726-3730

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）