{"title":"Watermarking Relational Databases for Ownership Protection Based on DWT","authors":"Chuanxian Jiang, Xiaowei Chen, Zhi Li","doi":"10.1109/IAS.2009.220","DOIUrl":null,"url":null,"abstract":"This paper primarily researches on the feasibility of embedding watermark to relational databases in the Discrete Wavelet Transform (DWT) domain. Watermark embedding is known to be difficult for relational databases. This paper focuses on the analysis of the wavelet high frequency coefficients of corresponding data and gives the definition of the intensive factor. By employing the linear correlation detecting method, this paper proposes the watermarking algorithm, which can embed the watermark into relational database successfully in DWT domain. The watermark can be distributed to different parts of the relational database. Experiments show that the embedded digital watermarks in the proposed algorithm are invisible and some degree of the robustness of the proposed algorithm against the commonly attacks that are used in databases processing.","PeriodicalId":240354,"journal":{"name":"2009 Fifth International Conference on Information Assurance and Security","volume":"142 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Fifth International Conference on Information Assurance and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAS.2009.220","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
This paper primarily researches on the feasibility of embedding watermark to relational databases in the Discrete Wavelet Transform (DWT) domain. Watermark embedding is known to be difficult for relational databases. This paper focuses on the analysis of the wavelet high frequency coefficients of corresponding data and gives the definition of the intensive factor. By employing the linear correlation detecting method, this paper proposes the watermarking algorithm, which can embed the watermark into relational database successfully in DWT domain. The watermark can be distributed to different parts of the relational database. Experiments show that the embedded digital watermarks in the proposed algorithm are invisible and some degree of the robustness of the proposed algorithm against the commonly attacks that are used in databases processing.