An Attribute-Based Assured Deletion Scheme in Cloud Computing

Fangfang Shan, Hui Li, Fenghua Li, Yunchuan Guo and Jinbo Xiong
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Fangfang Shan: State Key Laboratory of Integrated Service Network, School of Cyber Engineering, Xidian University, Xi'an, China
Hui Li: State Key Laboratory of Integrated Service Network, School of Cyber Engineering, Xidian University, Xi'an, China
Fenghua Li: State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy, Beijing, China
Yunchuan Guo: State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy, Beijing, China
Jinbo Xiong: College of Mathematics and Informatics, Fujian Normal University, Fuzhou, China

International Journal of Information Technology and Web Engineering (IJITWE), 2019, vol. 14, issue 2, 74-91

Abstract: With the rapid development of cloud computing, it has been increasingly attractive for individuals and groups to store and share data via cloud storage. Once stored in the third-party cloud storage service providers, the privacy and integrity of outsourced data should be attached with more attention as a challenging task. This article presents the attribute-based assured deletion scheme (AADS) which aims to protect and assuredly delete outsourced data in cloud computing. It encrypts outsourced data files with standard cryptographic techniques to guarantee the privacy and integrity, and assuredly deletes data upon revocations of attributes. AADS could be applied to solve important security problems by supporting fine-grained attribute-based policies and their combinations. According to the comparison and analysis, AADS provides efficient data encryption and flexible attribute-based assured deletion for cloud-stored data with an acceptable concession in performance cost.

Date: 2019
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