Planning Exploitation Graph-Bayesian networks Model forInformation Security Risk Frequency Measurement

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Planning Exploitation Graph-Bayesian networks Model forInformation Security Risk Frequency Measurement

更新时间：2025-07-16

- Planning Exploitation Graph-Bayesian networks Model forInformation Security Risk Frequency Measurement
- Acta Electronica Sinica Vol. 38, Issue 2A, Pages: 18-22(2010)
- 作者机构：
  
  1. 1.国防科学技术大学信息系统与管理学院,湖南,长沙,410073
  2. 清华大学计算机科学与技术系,北京,100084
  3. 深圳信息职业技术学院计算机应用系,广东,深圳,510829
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2010
- 稿件说明：
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FONT face, Verdana, WANG Zhen-zhe, et al. Planning Exploitation Graph-Bayesian networks Model forInformation Security Risk Frequency Measurement[J]. Acta Electronica Sinica, 2010, 38(2A): 18-22.
DOI：

FONT face, Verdana, WANG Zhen-zhe, et al. Planning Exploitation Graph-Bayesian networks Model forInformation Security Risk Frequency Measurement[J]. Acta Electronica Sinica, 2010, 38(2A): 18-22. DOI：

摘要

构建了一个基于贝叶斯网络的信息安全风险概率计算模型，并保证其可扩展性、精确性和客观性.模型的网络结构以规划渗透图表现，模型网络参数由专家知识确定并利用贝叶斯学习对其进行更新.实例分析表明构建的模型可以正确量化评估信息安全风险概率.

Abstract

A planning exploitation graph-bayesian networks model that can be applied in measurement of information security risk frequency is proposed

and the model’s scalability

accuracy and objectivity are achieved.The model graph structure is determined by Planning Exploitation Graph

the local conditional probability distributions are computed by combination ofexpertise knowledge and the maximum entropy prior probability distribution method

and the model parameters are updated with training data by Bayesian networks learning.The analysis of the example shows the model could evaluate the information security risk frequency successfully.

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