DocumentCode :
2411143
Title :
Research of Insider Threat Based on Bayesian Learning Theory
Author :
Wang, Hui ; Yang, Guangcan ; Liu, Shufen ; Li, Xing
fYear :
2011
fDate :
21-23 Oct. 2011
Firstpage :
431
Lastpage :
433
Abstract :
By monitoring daily behaviors of insiders in enterprise, we can establish the process information model which reflects behavioral characteristic of insiders based on Bayesian learning theory. There will be a warning happened in the system when an insider´s behaviors are deviating from the characteristic model. If applying the method to address insider threat, we can effectively improve the security of internal network, and reduce risk & loss from insider threat.
Keywords :
Bayesian methods; Classification algorithms; Data models; Educational institutions; Monitoring; Process control; Security; Bayesian Learning Theory; Characteristic Model; InsiderThreat; Security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational and Information Sciences (ICCIS), 2011 International Conference on
Conference_Location :
Chengdu, China
Print_ISBN :
978-1-4577-1540-2
Type :
conf
DOI :
10.1109/ICCIS.2011.214
Filename :
6086226
Link To Document :
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