Comprehensive assessment of privacy security of financial services in cloud environment

Abstract In recent years, the financial industry has become a disaster area for information leakage, which has serious implications for user privacy security. In the absence of risk identification and assessment, the risk will be difficult to prevent, and once the risk occurs it will directly cause serious losses. Therefore, this study plans to construct a comprehensive assessment framework combining fuzzy analytic hierarchy process (FAHP) and Dempster-Shafer (D-S) theory, aiming at assessing the weights and risk levels of the privacy security risks of financial services. (Privacy security risks refer to integrated factors in management, security, or other aspects that may lead to user privacy leakage, and they are considered an integrated concept.) The case study illustrates that the model and method proposed in this paper are effective and feasible. Finally, a comparison with the current mainstream privacy security assessment methods demonstrates that the method proposed in this paper is more capable of objectively and quantitatively reflecting the real privacy risks, providing users with more perspectives of the assessment results, and helping users to reasonably manage their personal privacy information, so as to effectively prevent and control the privacy risks.