Risk assessment method and device, computer equipment and storage medium

Abstract

The invention relates to a risk assessment method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring a risk factor value of a risk factor corresponding to each risk index to be evaluated and a class entropy weight coefficient of the risk factor under each risk index; calculating a correction factor of the risk factor according to a preset information entropy measurement algorithm; correcting the risk factor value of the risk factor and the corresponding class entropy weight coefficient according to the correction factor to obtain a corrected risk factor value and a corrected class entropy weight coefficient under each risk index, and determining a risk value of each risk index according to the corrected risk factor value and the corresponding corrected class entropy weight coefficient; and inputting the risk value corresponding to each risk index into a pre-trained risk assessment model, and determining a cloud computing environment risk level. By adopting the method, the accuracy and reliability of risk assessment are improved.

Description

technical field [0001] The present application relates to the technical field of cloud computing, in particular to a risk assessment method, device, computer equipment, storage medium and computer program product. Background technique [0002] With the rise of cloud computing technology, the security risks in cloud computing services have become a serious obstacle to the development of cloud computing. Measurement and evaluation became urgent problems. [0003] In the traditional cloud computing security risk assessment methods, information security risk assessment models established by Analytic Hierarchy Process, Fuzzy Mathematics, Gray Theory, etc. are widely used to assess the security risk level of various risks contained in cloud computing services. [0004] However, information security risk assessment models often require technicians or experts and scholars to give individual assessment information for each risk to be assessed in advance, and determine the level of r...

AI Technical Summary

Problems solved by technology

As a result, the traditional cloud computing security risk assessment is too much influenced by human subjective factors, resulting in large errors in cloud computing security risk assessment and unreliable assessment results

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