• DocumentCode
    1822851
  • Title

    Watermarking Relational Databases for Ownership Protection Based on DWT

  • Author

    Jiang, Chuanxian ; Chen, Xiaowei ; Li, Zhi

  • Author_Institution
    Sch. of Comput. Sci. & Inf., Guizhou Univ., Guiyang, China
  • Volume
    1
  • fYear
    2009
  • fDate
    18-20 Aug. 2009
  • Firstpage
    305
  • Lastpage
    308
  • 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.
  • Keywords
    correlation methods; data encapsulation; discrete wavelet transforms; relational databases; security of data; watermarking; DWT domain; database attack; digital watermarking algorithm; discrete wavelet transform; linear correlation detection method; ownership protection; relational database watermark embedding; robustness degree; wavelet high frequency coefficient; Computer science; Discrete wavelet transforms; Frequency; Image databases; Multimedia databases; Protection; Relational databases; Robustness; Spatial databases; Watermarking; DWT; information detetcting; numerical attribute; relational database watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Assurance and Security, 2009. IAS '09. Fifth International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-0-7695-3744-3
  • Type

    conf

  • DOI
    10.1109/IAS.2009.220
  • Filename
    5284134