An extended framework of privacy-preserving computation with flexible access control

• Main Authors: DING, Wenxiu, HU, Rui, YAN, Zheng, QIAN, Xinren, DENG, Robert H., YANG, Laurence T., DONG, Mianxiong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Access control; Computational modeling; Cloud computing; Protocols; Servers; Encryption; secure division computation; privacy preservation; data security; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/5298; https://ink.library.smu.edu.sg/context/sis_research/article/6301/viewcontent/Extended_framework_privacy_preserving_av.pdf
• Institution: Singapore Management University

Cloud computing offers various services based on outsourced data by utilizing its huge volume of resources and great computation capability. However, it also makes users lose full control over their data. To avoid the leakage of user data privacy, encrypted data are preferred to be uploaded and stor...