Research on Cloud Computing Security Risk Assessment Based on Information Entropy and Markov Chain

The measurement and assessment of risk is an important basis for the research of cloud computing security risk, it can provide important data for risk management decisions. However, due to the uncertainties of risk occurrences and losses, actual risk have multiple stochastic states, make the research of cloud computing risk become more difficult. In order to measure the risk and avoid the influence of subjective factors, a measurement and assessment model of cloud computing risk is established in this paper. The established model used Markov chain to describe random risk environment, and used information entropy to measure risk, effectively reduced the existing subjective factors in the assessment process, provided a practical and reliable method for risk management decisions.

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