Flexibly and Securely Shape Your Data Disclosed to Others

Qingqing Xie, Yantian Hou, Ke Cheng, Gaby G. Dagher, Liangmin Wang, Shucheng Yu

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Scopus citations

Abstract

This work is to enhance existing fine-grained access control to support a more expressive access policy over arithmetic operation results. We aim to enable data owners to flexibly bind a user's identity with his/her authorized access target according to a given access control policy, which indicates how a piece of data obfuscated by different noises. To this end, we design a cryptographic primitive that decouples the noisy data to two components, one associated with user identity, and the other one shared and dynamically changes, with the composite of these two components evaluated and revealed at user sides. The security of our scheme is formally proven using game based approach. We implement our system on a commercial cloud platform and use extensive experiments to validate its functionality and performance.

Original languageAmerican English
Title of host publicationAsia CCS '19: Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security
StatePublished - 1 Jul 2019

Keywords

  • fine-grained access control
  • homomorphic encryption
  • privacy-preserving cloud computing

EGS Disciplines

  • Computer Sciences

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