Data provenance with retention of reference relations

Wang, Chundong, Yang, Lei, Wu, Yijie, Wu, Yuduo, Cheng, Xiaochun ORCID logoORCID:, Li, Zhaohui and Liu, Zheli (2018) Data provenance with retention of reference relations. IEEE Access . ISSN 2169-3536 [Article] (Published online first) (doi:10.1109/ACCESS.2018.2876879)

PDF - Final accepted version (with author's formatting)
Download (1MB) | Preview


With the development of data transactions, data security issues have become increasingly important. For example, the copyright authentication and provenance of data have become the primary requirements for data security defence mechanisms. For this purpose, this paper proposes a data provenance system with retention of reference relations (called RRDP), which can enhance the security of data service in the process of publishing and transmission. The system model for data provenance with retention of reference relations adds virtual primary keys using reference relations between data tables. Traditional provenance algorithms have limitations on data types. This model has no such limitations. Added primary key is auto-incrementing integer number. Multi-level encryption is performed on the data watermarking to ensure the secure distribution of data. The experimental results show that the data provenance system with retention of reference relations has good accuracy and robustness of the provenance about common database attacks.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 25495
Notes on copyright: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Useful Links:
Depositing User: Xiaochun Cheng
Date Deposited: 31 Oct 2018 14:52
Last Modified: 29 Nov 2022 19:33

Actions (login required)

View Item View Item


Activity Overview
6 month trend
6 month trend

Additional statistics are available via IRStats2.