IEEE Access (Jan 2018)

Data Provenance With Retention of Reference Relations

  • Chundong Wang,
  • Lei Yang,
  • Yijie Wu,
  • Yuduo Wu,
  • Xiaochun Cheng,
  • Zhaohui Li,
  • Zheli Liu

DOI
https://doi.org/10.1109/ACCESS.2018.2876879
Journal volume & issue
Vol. 6
pp. 77033 – 77042

Abstract

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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 defense 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.

Keywords