A Searchable and Verifiable Data Protection Scheme for Scholarly Big Data

Scientific research achievements play a positive role in the promotion of social development. Scholarly big data include scholars' scientific research, experimental data, and their own identity information. The security of scholarly big data relates to the authors' reputation and the copyright of their works. This paper proposes a trusted third-party-aided searchable and verifiable data protection scheme that utilizes cloud computing technology. For a better description of the the protocol, we first present a user-differentiated system model and a cube data storage structure. On the basis of the novel system model and data structure, the scheme helps the users review the integrity of their uploaded or downloaded data at any time and search the online scholarly data with encrypted keywords. The security analysis and performance simulation demonstrate that the novel scheme is a secure and efficient scheme for scholarly big data applications.

Automated summary

Scientific research achievements play a positive role in promoting social development, and the security of scholarly big data is crucial for protecting authors' reputation and copyright. This proposed scheme utilizes cloud computing technology to provide a trusted third-party-aided data protection solution, allowing users to verify data integrity and conduct encrypted keyword searches at any time.