Overview of research on assessment model of radiant threat rank based on dynamic Bayesian network

Zheng Tang, Xiao Guang Gao, Ying Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Evaluating radiant threat rank is an important part of situation assessment and attack decision. All factors which would affect the assessment are analyzed. The advantages of experts system based on dynamic Bayesian network are given. After that, the theoretical model and its algorithm based on dynamic Bayesian network are presented and discussed. Finally, the model is established and simulated according to the algorithm. The simulation results are discussed and the model shows that it is effective and it can reflect the real threat rank.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Automation and Logistics, ICAL 2007
Pages1067-1071
Number of pages5
DOIs
StatePublished - 2007
Event2007 IEEE International Conference on Automation and Logistics, ICAL 2007 - Jinan, China
Duration: 18 Aug 200721 Aug 2007

Publication series

NameProceedings of the IEEE International Conference on Automation and Logistics, ICAL 2007

Conference

Conference2007 IEEE International Conference on Automation and Logistics, ICAL 2007
Country/TerritoryChina
CityJinan
Period18/08/0721/08/07

Keywords

  • Assessment model
  • Dynamic Bayesian network
  • Radiant point
  • Threat rank

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