Hidden Markov Model-based Probabilistic Approach for Evaluating Risk Propagation
نویسندگان
چکیده
With rapid development in the Internet technology, more organizations are becoming vulnerable to potential cyber attacks. Therefore, in order to protect private information and computer resources in information systems, risk analysis and propagation need to be studied. However, the existing risk models, especially risk analysis model, present mechanisms for risk management, and some risk propagation models can only be applied to specified threats such as a virus or a worm. Therefore, in this paper, the HMM-based probabilistic model for risk propagation is proposed, which can be applied to diverse threats in information systems.
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