Background: Problems of cloud user privacy leaks have already hindered the further development
of cloud computing, as described in various patents. Therefore, the comprehensive analysis
and measurement of cloud computing privacy risks factors is an effective way to control and
identify risks. However, the researches about this issue have not yet been discovered, so the relevant
issues have been focused in this paper.
Methods: This paper combines Analytic Hierarchy Process(AHP) with Information Entropy theory
to identify and measure the privacy security risks of cloud computing.
Results: This paper constructs a privacy risk attribute model of cloud computing with 20 privacy
risk factors, based on the model, a cloud computing privacy risk measurement model has been designed.
Conclusion: In order to effectively identify the defects and weakness on privacy protection, this paper
can calculate the value and level of privacy risk factors of the attribute model by measuring
model. The measurement results can provide a reference for cloud service providers to protect the
privacy of users. Then the correctness of the model is verified by relevant simulation experiments.