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| 基于贝叶斯网络的威胁识别 | |
| 引用本文： | 王朔,周少平,黄教民. 基于贝叶斯网络的威胁识别[J]. 计算机工程与设计, 2006, 27(18): 3442-3443,3446 |
| 作者姓名： | 王朔 周少平 黄教民 |
| 作者单位： | 1. 国防科学技术大学,机电工程与自动化学院,湖南,长沙,410073 2. 国防科学技术大学,系统工程研究所,湖南,长沙,410073 3. 国防科学技术大学,继续教育学院,湖南,长沙,410073 |
| 摘 要： | 对威胁进行准确识别是威胁评估的重要内容之一,它涉及到许多不确定性因素.贝叶斯网络是处理不确定性知识的有效工具.根据威胁识别与贝叶斯网络的特点,提出了基于贝叶斯网络的威胁识别方法.首先简单介绍了贝叶斯网络及其优点,然后根据一个具体的实例,建立了威胁识别的贝叶斯网络模型,并阐述了贝叶斯网络用于威胁识别的推理流程.通过对实例的计算结果表明,利用贝叶斯网络能够准确识别威胁,并能有效地处理不确定性信息. |
| 关 键 词： | 贝叶斯网络 威胁识别 不确定性 概率理论 推理 |
| 文章编号： | 1000-7024（2006）18-3442-02 |
| 收稿时间： | 2005-07-17 |
| 修稿时间： | 2005-07-17 |
Threat identification based on Bayesian network |
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| WANG Shuo,ZHOU Shao-ping,HUANG Jiao-min. Threat identification based on Bayesian network[J]. Computer Engineering and Design, 2006, 27(18): 3442-3443,3446 | |
| Authors: | WANG Shuo ZHOU Shao-ping HUANG Jiao-min |
| Affiliation: | 1. College of Mechanical Engineerin,g and Automation, National University of Defense Technology, Changsha 410073, China; 2. Institute of Systems Engineering, National University of Defense Technology, Changsha410073, China; 3. College of Continuing Education, National University of Defense Technology, Changsha 410073, China |
| Abstract: | Threat identification is one of the key problems in threat assessment, it involves many uncertain factors, Bayesian network is an effective tool for uncertainty knowledge. According to characteristics of threat identification and Bayesian network, a method of threat identification based on Bayesian network is brought forward. Firstly, Bayesian network and its excellence are presented briefly, and, the threat identification model based on Bayesian network is built, the reasoning process is discussed. The experimental result shows that Bayesian network is able to identify the threat well and truly, and it is effective to deal with the uncertainty. |
| Keywords: | Bayesian network threat identification uncertainty probability theory inference |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |
