A privacy-preserving outsourced functional computation framework across large-scale multiple encrypted domains

• Main Authors: LIU, Ximeng, QIN, Baodong, DENG, Robert H., LU, Rongxing, MA, Jianfeng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: multiple encrypted domains; Privacy-preserving; function privacy; homomorphic encryption; outsourced computation; large-scale; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/3346; https://ink.library.smu.edu.sg/context/sis_research/article/4348/viewcontent/PrivacyPreservingOutsourcedFnComputation_2016.pdf
• Institution: Singapore Management University

In this paper, we propose a framework for privacy-preserving outsourced functional computation across large-scale multiple encrypted domains, which we refer to as POFD. With POFD, a user can obtain the output of a function computed over encrypted data from multiple domains while protecting the priva...