Probability and statistics with reliability, queuing and computer science applications
Probability and statistics with reliability, queuing and computer science applications
Code red worm propagation modeling and analysis
Proceedings of the 9th ACM conference on Computer and communications security
How to Own the Internet in Your Spare Time
Proceedings of the 11th USENIX Security Symposium
Worm propagation modeling and analysis under dynamic quarantine defense
Proceedings of the 2003 ACM workshop on Rapid malcode
A security risk analysis model for information systems
AsiaSim'04 Proceedings of the Third Asian simulation conference on Systems Modeling and Simulation: theory and applications
SP 800-30. Risk Management Guide for Information Technology Systems
SP 800-30. Risk Management Guide for Information Technology Systems
Modeling and Simulation for Security Risk Propagation in Critical Information Systems
Computational Intelligence and Security
Quantitative Risk Analysis and Evaluation in Information Systems: A Case Study
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
HMM-based approach for evaluating risk propagation
PAISI'07 Proceedings of the 2007 Pacific Asia conference on Intelligence and security informatics
Risk analysis models and risk degree determination in new product development: A case study
Journal of Engineering and Technology Management
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With rapid development in the Internet technology, business management in an organization becomes dependent on network dependency and cohesiveness in a critical information and communications infrastructure. However, the occurrence of cyber attacks has increased, targeted against vulnerable resources in information systems. Hence, in order to protect private information and computer resources, risk analysis and damage propagation need to be studied. However, the existing models present mechanisms for risk management, and these models can only be applied to specified threats such as a virus or a worm. Therefore, a probabilistic model for damage propagation based on 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 of each threat in the information systems.