@inproceedings{f2796bf58d51474fad6933096eb01809,
title = "Overview of research on assessment model of radiant threat rank based on dynamic Bayesian network",
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.",
keywords = "Assessment model, Dynamic Bayesian network, Radiant point, Threat rank",
author = "Zheng Tang and Gao, \{Xiao Guang\} and Ying Zhang",
year = "2007",
doi = "10.1109/ICAL.2007.4338726",
language = "英语",
isbn = "1424415314",
series = "Proceedings of the IEEE International Conference on Automation and Logistics, ICAL 2007",
pages = "1067--1071",
booktitle = "Proceedings of the IEEE International Conference on Automation and Logistics, ICAL 2007",
note = "2007 IEEE International Conference on Automation and Logistics, ICAL 2007 ; Conference date: 18-08-2007 Through 21-08-2007",
}