• DocumentCode
    120564
  • Title

    A robust multiple watermarking technique for information recovery

  • Author

    Khanduja, Vidhi ; Chakraverty, Shampa ; Verma, Om Prakash ; Tandon, Ravi ; Goel, Shivani

  • Author_Institution
    Dept. of Comput. Eng., Netaji Subhas Inst. of Technol., New Delhi, India
  • fYear
    2014
  • fDate
    21-22 Feb. 2014
  • Firstpage
    250
  • Lastpage
    255
  • Abstract
    Digital databases serve as the vehicles for compiling, disseminating and utilizing all forms of information that are pivotal for societal development. A major challenge that needs to be tackled is to recover crucial information that may be lost due to malicious attacks on database integrity. In the domain of digital watermarking, past research has focused on robust watermarking for establishing database ownership and fragile watermarking for tamper detection. In this paper, we propose a new technique for multiple watermarking of relational databases that provides a unified solution to two major security concerns; ownership identification and information recovery. In order to resolve ownership conflicts a secure watermark is embedded using a secret key known only to the database owner. Another watermark encapsulates granular information on user-specified crucial attributes in a manner such that the perturbed or lost data can be regenerated conveniently later. Theoretical analysis shows that the probability of successful regeneration of tampered/lost data improves dramatically as we increase the number of candidate attributes for embedding the watermark. We experimentally verify that the proposed technique is robust enough to extract the watermark accurately even after 100% tuple addition or alteration and after 98% tuple deletion.
  • Keywords
    feature extraction; granular computing; image watermarking; relational databases; security of data; visual databases; database integrity; database ownership; digital databases; digital watermarking; fragile watermarking; granular information; information recovery; malicious attacks; relational databases; robust multiple watermarking technique; societal development; tamper detection; tuple deletion; watermark extraction; Clustering algorithms; Conferences; Relational databases; Robustness; Watermarking; Data Recovery; Digital Watermarking; Right Protection; Robustness; Tamper Detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advance Computing Conference (IACC), 2014 IEEE International
  • Conference_Location
    Gurgaon
  • Print_ISBN
    978-1-4799-2571-1
  • Type

    conf

  • DOI
    10.1109/IAdCC.2014.6779329
  • Filename
    6779329