计算机科学 ›› 2013, Vol. 40 ›› Issue (10): 127-131.

• 信息安全 • 上一篇    下一篇

基于云贝叶斯网络的目标威胁评估方法

张银燕,李弼程,崔家玮   

  1. 解放军信息工程大学信息系统工程学院 郑州450002;解放军信息工程大学信息系统工程学院 郑州450002;解放军信息工程大学信息系统工程学院 郑州450002
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国家863项目(2012AA7032030D),全军军事研究生课题(军事学YJS1062)资助

Method of Target Threat Assessment Based on Cloudy Bayesian Network

ZHANG Yin-yan,LI Bi-cheng and CUI Jia-wei   

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

摘要: 将云模型和贝叶斯网络相结合,形成云贝叶斯网络,并建立了基于云贝叶斯网络的威胁评估模型。首先,根据实际应用背景确定贝叶斯网络结构,并对连续型观测节点进行云模型转换;然后,将观测变量值输入云贝叶斯网络,推理得到目标属于各个威胁等级的概率;最后,为消除目标信息的不确定性对总的威胁度的影响,进行了多次重复推理,通过概率合成公式求得最终的威胁程度。以联合防空作战为背景,仿真实现了空中目标的威胁评估,验证了该方法的有效性。

关键词: 威胁评估,云贝叶斯网络,云模型,贝叶斯网络,信息融合

Abstract: Cloudy bayesian network was proposed by combining cloud model and bayesian network,and a threat asses-sment model was built based on cloudy bayesian network.Firstly,the bayesian network structure was designed according to the background,and continuous observation node was transformed into cloud model.Secondly,the observation variable value was input to the cloudy bayesian network,reasoning out the probabilities of target which belongs to each threat level.Finally, repeat reasoning was made to eliminate the influence of target information uncertainty on the overall threat grade,and the final threat grade was obtained by probability-composing formula.The validity of the method was checked by simulation for aerial targets threat assessment against a background of joint air defense operations.

Key words: Threat assessment,Cloudy bayesian network,Cloud model,Bayesian network,Information fusion

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