CP-ABE-Based Secure and Verifiable Data Deletion in Cloud

Author:

Ma Jun12ORCID,Wang Minshen3ORCID,Xiong Jinbo3ORCID,Hu Yongjin2ORCID

Affiliation:

1. School of Telecommunications Engineering, Xidian University, Xi’an 710071, China

2. Information Engineering University, Zhengzhou 450001, China

3. Fujian Provincial Key Laboratory of Network Security and Cryptology, College of Mathematics and Informatics, Fujian Normal University, Fuzhou 350117, China

Abstract

Cloud data, the ownership of which is separated from their administration, usually contain users’ private information, especially in the fifth-generation mobile communication (5G) environment, because of collecting data from various smart mobile devices inevitably containing personal information. If it is not securely deleted in time or the result of data deletion cannot be verified after their expiration, this will lead to serious issues, such as unauthorized access and data privacy disclosure. Therefore, this affects the security of cloud data and hinders the development of cloud computing services seriously. In this paper, we propose a novel secure data deletion and verification (SDVC) scheme based on CP-ABE to achieve fine-grained secure data deletion and deletion verification for cloud data. Based on the idea of access policy in CP-ABE, we construct an attribute association tree to implement fast revoking attribute and reencrypting key to achieve fine-grained control of secure key deletion. Furthermore, we build a rule transposition algorithm to generate random data blocks and combine the overwriting technology with the Merkle hash tree to implement secure ciphertext deletion and generate a validator, which is then used to verify the result of data deletion. We prove the security of the SDVC scheme under the standard model and verify the correctness and effectiveness of the SDVC scheme through theoretical analysis and ample simulation experiment results.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Information Systems

Reference57 articles.

1. Channel State Information Prediction for 5G Wireless Communications: A Deep Learning Approach

2. LSAA: A Lightweight and Secure Access Authentication Scheme for Both UE and mMTC Devices in 5G Networks

3. Exploiting transfer learning for emotion recognition under cloud-edge-client collaborations;D. Wu;IEEE Journal on Selected Areas in Communications,2020

4. Efficient traceable authorization search system for secure cloud storage;Y. Yang;IEEE Transactions on Cloud Computing,2020

5. Secure Encrypted Data With Authorized Deduplication in Cloud

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