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计算机工程 ›› 2010, Vol. 36 ›› Issue (22): 125-128.doi: 10.3969/j.issn.1000-3428.2010.22.044

• 安全技术 • 上一篇    下一篇

基于WNN和EGA的信息安全风险评估

刘明生1，孙树静2   

  1. (1. 邯郸学院信息工程学院，河北 邯郸 056005；2. 河北省公安厅信通处，石家庄 050051)
  • 出版日期:2010-11-20 发布日期:2010-11-18
  • 作者简介:刘明生(1960－)，男，教授、博士，主研方向：信息安全；孙树静，助理工程师、硕士
  • 基金项目:
    河北省自然科学基金资助项目(F2007000682)

Information Security Risk Assessment Based on WNN and EGA

LIU Ming-sheng1, SUN Shu-jing2   

  1. (1. School of Information Engineering, Handan College, Handan 056005, China;2. Information and Communication Office of Hebei Provincial Public Security Bureau, Shijiazhuang 050051, China)
  • Online:2010-11-20 Published:2010-11-18

PDF

1208

被引次数

6 | 1

摘要： 为克服传统信息安全风险评估模型在人为权重分配中的主观性，提出一种基于小波神经网络(WNN)和熵权-灰色关联(EGA)的信息安全风险定量评估模型。该模型利用WNN得到风险事件的风险值以及各个实体的风险统计状况，通过EGA得到该风险状况排序，并计算平均风险水平，从而有效评估信息系统的安全风险。

关键词: 信息安全风险评估, 小波神经网络, BP神经网络, 熵权-灰色关联

Abstract: This paper presents an information security risk assessment model based on Wavelet Neural Network(WNN) and Entropy-weighted Grey Association(EGA), in order to overcome subjectivity in man-made distributing weight for traditional information security risk assessment. Using WNN can get the value of risk events and the statistical risk profile of each entity, using EGA can gain the sort of risk profile of each entity and can calculate the average risk level of the overall system to achieve the purpose of evaluating effectively information system security risk.

Key words: information security risk assessment, Wavelet Neural Network(WNN), BP neural network, Entropy-weighted Grey Association(EGA)

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