Empirical analysis of the impact of queries on watermarked relational databases

作者：

Highlights：

• A low critical number of detected marks can still help to overcome attacks.

• Watermarks’ topological complexities contribute to data usability preservation.

• Spotting similarities in SQL queries contributes to robust watermark synchronization.

• The addition of random data can help to overcome the loss of marks.

摘要

•A low critical number of detected marks can still help to overcome attacks.•Watermarks’ topological complexities contribute to data usability preservation.•Spotting similarities in SQL queries contributes to robust watermark synchronization.•The addition of random data can help to overcome the loss of marks.

论文关键词：Empirical analysis,Relational data,SQL queries,Watermark preservation,Watermarking techniques

论文评审过程：Received 25 November 2021, Revised 1 April 2022, Accepted 30 April 2022, Available online 14 May 2022, Version of Record 9 June 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117491