Title :
A privacy-preserving multi-levels access control protocol for sensitive data sharing
Author :
Zhe Jia; Wei Wu; Yantao Guo; Huifeng Yang
Author_Institution :
Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory, Shijiazhuang 050081, China
Abstract :
Database as a service (DaaS) is a new paradigm based on the cloud computing platform. With the growing concerns on privacy, the user shope to have a security manner to store their data in the cloud. In order to improve the privacy protecting method for the sensitive data shared in the cloud, this paper proposes a privacy-preserving access control protocol based on multi-levels access control, Feldman (t,n) VSS protocol and ElGamal homomorphism property. Theoretical analysis shows that, the protocol could protect the privacy of both the data owners´ sensitive data, and the access control information, while providing multi-level access control strategies.
Keywords :
"Servers","Encryption","Jamming","Digital signal processing","Conferences"
Conference_Titel :
Communication Technology (ICCT), 2015 IEEE 16th International Conference on
Print_ISBN :
978-1-4673-7004-2
DOI :
10.1109/ICCT.2015.7399966