An efficient privacy-preserving outsourced calculation toolkit with multiple keys

• Main Authors: LIU, Ximeng, DENG, Robert H., CHOO, Kim-Kwang Raymond, WENG, Jian
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Privacy-preserving; homomorphic encryption; outsourced computation; multiple keys; Computer Sciences; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/3501; https://ink.library.smu.edu.sg/context/sis_research/article/4502/viewcontent/EfficientPrivacyPreservingOutsourcedCal_ITIFS_2016.pdf
• Institution: Singapore Management University

In this paper, we propose a toolkit for efficient and privacy-preserving outsourced calculation under multiple encrypted keys (EPOM). Using EPOM, a large scale of users can securely outsource their data to a cloud server for storage. Moreover, encrypted data belonging to multiple users can be proces...