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A lot of electronic medical records (EMRs) are collected and uploaded to the cloud for scalable sharing among the authority users. It is necessary to guarantee the confidentiality of EMRs and the privacy of EMR owners. To achieve this target, we summarize a series of attack behaviors in the cloud storage system and present the security model against many types of unexpected privacy leakage. Privacy of unassailed EMRs is guaranteed in this model, and the influence of privacy leakage is controlled in a certain scope. We also propose a role-based access control scheme to achieve flexible access control on these private EMRs. One can access medical records only if his\/her role satisfies the defined access policy, which implies a fine-grained access control. Theoretical and experimental analyses show the efficiency of our scheme in terms of computation and communication.<\/jats:p>","DOI":"10.1155\/2020\/8347213","type":"journal-article","created":{"date-parts":[[2020,2,10]],"date-time":"2020-02-10T18:32:02Z","timestamp":1581359522000},"page":"1-20","source":"Crossref","is-referenced-by-count":3,"title":["Secure Outsourced Medical Data against Unexpected Leakage with Flexible Access Control in a Cloud Storage System"],"prefix":"10.1155","volume":"2020","author":[{"given":"Xingguang","family":"Zhou","sequence":"first","affiliation":[{"name":"School of Cyber Science and Technology, Beihang University, Beijing, China"},{"name":"Civil Aviation Management Institute of China, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianwei","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Technology, Beihang University, Beijing, 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