Text
E-book Cyber Security : 18th China Annual Conference, CNCERT 2021, Beijing, China, July 20–21, 2021, Revised Selected Papers
In recent years, various industries have emerged with complex and diverse data, and thesedata have become important production factors [1]. As the value of data is increasing,people are more and more concerned about copyright protection, and the awareness ofcopyright protection is gradually increasing. Relational data is one of the most commontypes of data, therefore, the copyright protection of relational data has become one ofthe hot spots of research in related fields.In the early 1990s, digital watermarking techniques were proposed by relatedresearchers. As an important branch of information hiding technology, digital water-marking is an effective method to achieve copyright protection [2]. In 2002, Agrawaland Kiernan et al. proposed the first data watermarking scheme for relational data bycombining the characteristics of relational data [3]. Since then, researchers in relatedfields have started their research work on data watermarking. Data watermarking refersto embedding the identity information of the owner who constitutes the data into the structured data, and the embedded information should satisfy the data with less distor-tion. When the original data is illegally used or maliciously copied and disseminated, thedatabase watermarking extraction technology can be used to extract the original water-mark from the embedded data, thus confirming the copyright of the data and tracing theresponsibility of the leakage.The relational data can be commonly classified into numerical data and textual data.It has the characteristics of low data redundancy and frequent data updates, so the dis-tortion reduction and attack resistance have become a difficult problem and researchhotspot in the industry.
Tidak tersedia versi lain