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| 信息安全风险概率计算的贝叶斯网络模型 | |
| 引用本文： | 王桢珍,姜欣,武小悦,谭旭. 信息安全风险概率计算的贝叶斯网络模型[J]. 电子学报, 2010, 38(Z1) |
| 作者姓名： | 王桢珍 姜欣 武小悦 谭旭 |
| 作者单位： | 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 |
| 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. |
| 关 键 词： | 风险评估 贝叶斯网络 规划渗透图 贝叶斯学习 |
Planning Exploitation Graph-Bayesian networks Model for Information Security Risk Frequency Measurement |
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| WANG Zhen-zhen,JIANG Xin,WU Xiao-yue,TAN Xu. Planning Exploitation Graph-Bayesian networks Model for Information Security Risk Frequency Measurement[J]. Acta Electronica Sinica, 2010, 38(Z1) | |
| Authors: | WANG Zhen-zhen JIANG Xin WU Xiao-yue TAN Xu |
| Affiliation: | WANG Zhen-zhen1,JIANG Xin2,WU Xiao-yue1,TAN Xu3(1.College of information System and Management,National University of Defense Technology,Changsha,Hunan 410073,China,2.Department of Computer Science and Technology,Tsinghua University,Beijing 100084,3.Department of Computer Application,Shenzhen Institute of Information Technology,Shenzhen,Guangdong 518029,China) |
| 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 of expertise knowledge and the maximum entropy prior probability distribution method,and the model parameters are updated with training data by Bayesian networ... |
| Keywords: | risk measurement Bayesian networks planning exploitation graph Bayesian networks learning |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |
