Research Area:  Big Data

Abstract:

Attribute-based encryption (ABE) has been widely used in cloud computing where a data provider outsources his/her encrypted data to a cloud service provider, and can share the data with users possessing specific credentials (or attributes). However, the standard ABE system does not support secure deduplication, which is crucial for eliminating duplicate copies of identical data in order to save storage space and network bandwidth. In this paper, we present an attribute-based storage system with secure deduplication in a hybrid cloud setting, where a private cloud is responsible for duplicate detection and a public cloud manages the storage. Compared with the prior data deduplication systems, our system has two advantages. First, it can be used to confidentially share data with users by specifying access policies rather than sharing decryption keys. Second, it achieves the standard notion of semantic security for data confidentiality while existing systems only achieve it by defining a weaker security notion. In addition, we put forth a methodology to modify a ciphertext over one access policy into ciphertexts of the same plaintext but under other access policies without revealing the underlying plaintext.

Keywords:  

Author(s) Name:  Hui Cui; Robert H. Deng; Yingjiu Li and Guowei Wu

Publisher name:  IEEE

DOI:  10.1109/TBDATA.2017.2656120

Volume Information:  Volume: 5, Issue: 3, Sept. 1 2019,Page(s): 330 - 342

Paper Link:   https://ieeexplore.ieee.org/document/7829265