PKMark: A Robust Zero-distortion Blind Reversible Scheme for Watermarking Relational Databases

Xiao Tang, Zhenfu Cao, Xiaolei Dong, Jiachen Shen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

In this paper, we propose a zero-distortion blind reversible robust scheme for watermarking relational databases called PKMark. Data owner can declare the copyright of the databases or pursue the infringement by extracting the water-mark information embedded in the database. PKMark is mainly based on the primary key attribute of the tuple. So it does not depend on the type of the attribute, and can provide high-precision numerical attributes. PKMark uses RSA encryption on the watermark before embedding the watermark to ensure the security of the watermark information. Then we use RSA to sign the watermark cipher text so that the owner can verify the ownership of the watermark without disclosing the watermark. The watermark embedding and extraction are based on the hash value of the primary key, so the scheme has blindness and reversibility. In other words, the user can obtain the watermark information or restore the original database without comparing it to the original database. Our scheme also has almost excellent robustness against addition attacks, deletion attacks and alteration attacks. In addition, PKMark is resistant to additive attacks, allowing different users to embed multiple watermarks without interfering with each other, and it can indicate the sequence of watermark embedding so as to indicate the original copyright owner of the database. This watermarking scheme also allows data owners to detect whether the data has been tampered with.

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE 15th International Conference on Big Data Science and Engineering, BigDataSE 2021
EditorsJia Hu, Shahid Mumtaz, Xinzhou Cheng
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages72-79
Number of pages8
ISBN (Electronic)9781665400381
DOIs
StatePublished - 2021
Event15th IEEE International Conference on Big Data Science and Engineering, BigDataSE 2021 - Shenyang, China
Duration: 20 Oct 202122 Oct 2021

Publication series

NameProceedings - 2021 IEEE 15th International Conference on Big Data Science and Engineering, BigDataSE 2021

Conference

Conference15th IEEE International Conference on Big Data Science and Engineering, BigDataSE 2021
Country/TerritoryChina
CityShenyang
Period20/10/2122/10/21

Keywords

  • blind
  • relational database
  • reversible
  • robust
  • watermarking
  • zero-distortion

Fingerprint

Dive into the research topics of 'PKMark: A Robust Zero-distortion Blind Reversible Scheme for Watermarking Relational Databases'. Together they form a unique fingerprint.

Cite this