Data Rights Confirmation Scheme Based on Auditable Ciphertext CP-ABE in the Cloud Storage Environment

Author:

Zhang Lingyun1ORCID,Chen Yuling1ORCID,Luo Yun1,He Zhongxiang1,Li Tao1ORCID

Affiliation:

1. State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang 550001, China

Abstract

Advances in information technology have made data accessible anytime and anywhere. Currently, data confirmation is a popular area of research. Many current approaches to data confirmation rely on submitting certificates of ownership, embedding digital watermarks, or using blockchain. However, none of these approaches can avoid exposing source data to third parties that are not fully trusted. To address this issue, this paper proposes a new data confirmation method based on ciphertext policy attribute-based encryption (CP-ABE), which is widely used in cloud storage environments. The unique identifier of the data owner is encrypted by Paillier encryption and embedded into the ciphertext, so that the ownership corresponding to the plaintext is converted to the ownership corresponding to the ciphertext. During the entire confirmation process, third-party organizations cannot access the source data, reducing the risk of source data leakage. Finally, the feasibility of the scheme is proved by security proof and experiment comparison.

Funder

National Natural Science Foundation of China

Natural Science Research Technology Top Talent Project of Education Department of Guizhou Province

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Image data confirmation method based on security watermarking and blockchain;Proceedings of the 2024 5th International Conference on Computing, Networks and Internet of Things;2024-05-24

2. Revocable and Traceable Undeniable Attribute-Based Encryption in Cloud-Enabled E-Health Systems;Entropy;2023-12-31

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