The Research on Dynamic Risk Assessment Based on Hidden Markov Models

In order to effectively finish the dynamic risk assessment of the electricity system, this paper will divide each attack into three distinct phases, The difficulty of attack is assessed by percent of each attack time of distinct stages take up in the total attack time to describe the attack difficulty in order to determine the status of the assets transition matrix, realising the dynamic nature of risk assessment. The real-time dynamic risk assessment methods based on Hidden Markov Model HMM has a strong adaptability and scalability, it can be effectively applied on the network, host, system, service level of risk assessment. This paper designs and implements the dynamic risk assessment examples power system, and then demonstrateds the dynamic assessment model.