电信科学 ›› 2015, Vol. 31 ›› Issue (2): 113-117.doi: 10.11959/j.issn.1000-0801.2015013

• 研究与开发 • 上一篇    下一篇

多状态有奖马尔可夫工业控制网络可信测度研究

周森鑫1,2,韩江洪1,李超2,吴德成2   

  1. 1 合肥工业大学计算机与信息学院 合肥 230009
    2 安徽财经大学管理科学与工程学院 蚌埠 233030
  • 出版日期:2015-02-20 发布日期:2017-03-18
  • 基金资助:
    国家自然科学基金资助项目;国家自然科学基金资助项目;安徽省高校自然科学基金重大项目

Research on Trusted Measurement of Industrial Control Network with Markov Reward Model

Senxin Zhou1,2,Jianghong Han1,Chao Li2,Decheng Wu2   

  1. 1 School of Computer ＆Information,Hefei University of Technology,Hefei 230009, China
    2 School of Management Science ＆Engineering,Anhui University of Finance&Economics,Bengbu 233030, China
  • Online:2015-02-20 Published:2017-03-18
  • Supported by:
    The National Natural Science Foundation of China;The National Natural Science Foundation of China;The Natural Science Research Key Project of Anhui Provincial Higher Education

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摘要：

在分析工业控制系统安全特殊需求及可信网络研究现状的基础上，运用状态分析法和可信网络理论，针对工业控制网络的特点构建有奖马可夫可信度评估模型。通过特定奖励参数的累积计算其安全性、可生存性和可控性量值并归一化处理得出可信度，为进一步研究可信工业控制网络系统奠定基础。

关键词: 有奖马尔可夫链, 可信测度, 网络安全, 可用性

Abstract:

After analyzing the current situation of industrial control systems security research, a award Markov trustworthy assessment model was set up by using the theory of state analysis and trusted network. The value for the security, survivability and controllability of trustworthy industrial control network system can be computed. Furthermore the trusted value can be get from them. The research result will lay a solid foundation for trusted industrial control network research work.

Key words: Markov reward chain, trusted measurement, network security, availability

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