计算机科学 ›› 2008, Vol. 35 ›› Issue (7): 78-80.

• • 上一篇    下一篇

基于贝叶斯网络的入侵容忍系统

秦华旺 戴跃伟 王执铨   

  1. 南京理工大学自动化学院,南京210094
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    国家自然科学基金资助项目(60374066).

QIN Hua-wang DAI Yue-wei WANG Zhi-quan (School of Automatization, Nanjing University of Science & Technology, Nanjing 210094,China)   

  • Online:2018-11-16 Published:2018-11-16

摘要: 提出一种基于贝叶斯网络的入侵容忍系统,给出系统的运行流程。用进程特性向量来表示一个具体的进程,并对进程特性进行具体的分类。提出利用贝叶斯网络模型来描述进程的运行过程,给出基于贝叶斯网络推理的进程类型概率值的计算公式,构造了用于确定进程危险程度的危险函数,并用实例说明了对入侵进程的具体识别过程。

关键词: 入侵容忍 贝叶斯网络 信息安全

Abstract: A kind of intrusion tolerant system based on Bayesian networks is proposed in this paper. The work flow of the system is also given. The process is denoted by process character vector which is classified concretely. The work flow of process is described b

Key words: Intrusion tolerance, Bayesian networks, Information security

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!