A Searchable and Verifiable Data Protection Scheme for Scholarly Big Data

作者：Shen, Jian; Wang, Chen; Wang, Anxi; Ji, Sai; Zhang, Yan^*

来源：IEEE Transactions on Emerging Topics in Computing, 2021, 9(1): 216-225.

DOI：10.1109/TETC.2018.2830368

• Cloud computing
• Big Data
• Protocols
• Data models
• Cryptography
• Computers
• Scholarly big data
• security scheme
• searchable encryption
• data integrity
• cloud computing

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.

• 出版日期2021-1-1
• 单位南京信息工程大学