PUSC: Privacy-preserving user-centric skyline computation over multiple encrypted domains

• Main Authors: LIU, Ximeng, CHOO, Kim-Kwang Raymond, DENG, Robert H., YANG, Yang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Homomorphic Encryption; Multiple Encrypted Domains; Privacy-Preserving; Skyline Computation; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/4223
• Institution: Singapore Management University

In this paper, we present a new privacy-preserving user-centric skyline computation framework over different encrypted domains, which we referred to as PUSC. With PUSC, a user can flexibly obtain the skyline set from different service providers without disclosing user preferences to third parties in...