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 proceedingConference contributionpeer-review

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 languageEnglish
Title of host publicationAsiaCCS 2019 - Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security
Pages160-167
Number of pages8
ISBN (Electronic)9781450367523
DOIs
StatePublished - 2 Jul 2019
Event2019 ACM Asia Conference on Computer and Communications Security, AsiaCCS 2019 - Auckland, New Zealand
Duration: 9 Jul 201912 Jul 2019

Publication series

NameAsiaCCS 2019 - Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security

Conference

Conference2019 ACM Asia Conference on Computer and Communications Security, AsiaCCS 2019
Country/TerritoryNew Zealand
CityAuckland
Period9/07/1912/07/19

Keywords

  • Fine-grained access control
  • Homomorphic encryption
  • Privacypreserving cloud computing

Fingerprint

Dive into the research topics of 'Flexibly and securely shape your data disclosed to others'. Together they form a unique fingerprint.

Cite this