DocumentCode :
3318104
Title :
Simulation of Risk Propagation Model in Information Systems
Author :
Young-Gab Kim ; Dongwon Jeong ; Soo-Hyun Park ; Doo-kwon Baik
Author_Institution :
Center for Inf. Security Technol., Korea Univ., Seoul
Volume :
2
fYear :
2006
fDate :
3-6 Nov. 2006
Firstpage :
1555
Lastpage :
1558
Abstract :
The existing risk propagation models are limited and inadequate in analyzing cyber attacks caused by various threats in information systems, because it has focus on only a specific threat such as a virus or a worm. Therefore, risk propagation model based on the Markov process is proposed, which can be applied to diverse threats in information systems. The proposed model enables us to predict the occurrence probability and occurrence frequency for each threat in the information system. In this paper, in order to verify the proposed model, the simulations are performed using several scenarios
Keywords :
Markov processes; information systems; probability; risk analysis; security of data; Markov process; cyber attacks; information systems; occurrence frequency; occurrence probability; risk propagation model; security threats; Computer worms; Frequency; Information analysis; Information security; Information systems; Management information systems; Markov processes; Predictive models; Probability; Risk analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security, 2006 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
1-4244-0604-8
Type :
conf
DOI :
10.1109/ICCIAS.2006.295322
Filename :
4076228
Link To Document :
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