Title :
Research of Threat Identification Based on Bayesian Networks
Author :
Li Man ; Feng, Xinxi ; Chen, Jiaoping
Author_Institution :
Telecommun. Eng. Inst., AFEU, Xian, China
Abstract :
Threat identification is one of the key problems in threat assessment, it involves many uncertain factors. Bayesian network is an effective tool for uncertainty knowledge. According to characteristics of threat identification and Bayesian network, a method of threat identification based on Bayesian network is brought forward. The situation assessment knowledge representation using the Bayesian networks, the steps to construct a Bayesian networks for threat assessment were presented, and the layers of events in the situation assessment system were analyzed. Finally, the process of how to use the Bayesian networks for Threat identification was showed by an example.
Keywords :
belief networks; knowledge representation; security of data; Bayesian networks; knowledge representation; situation assessment system; threat assessment; threat identification; uncertainty knowledge; Artificial intelligence; Artificial neural networks; Bayesian methods; Calculus; Decision making; Equations; Information resources; Knowledge representation; Probability; Uncertainty;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3692-7
Electronic_ISBN :
978-1-4244-3693-4
DOI :
10.1109/WICOM.2009.5305479