• DocumentCode
    2909212
  • Title

    D-S Evidence Theory Based Digital Image Trustworthiness Evaluation Model

  • Author

    Hu, Donghui ; Wang, Lina ; Zhou, Yu ; Zhou, Yang ; Jiang, Xiaqiu ; Ma, Longfei

  • Author_Institution
    Sch. of Comput. Sci. & Inf., Hefei Univ. of Technol., Hefei, China
  • Volume
    1
  • fYear
    2009
  • fDate
    18-20 Nov. 2009
  • Firstpage
    85
  • Lastpage
    89
  • Abstract
    Digital images are facing trustworthy crisis with the emergence of various digital image process tools and steganography tools. Current digital image forensic methods can not evaluate the digital image´s trustworthiness. Base on Dempster-Shafer (D-S) evidence theory, this paper proposed a new model which can effectively evaluate digital image trustworthiness. Instead of using Dempster´s original rule of combination, we use feature fusion method to resolve the problem of evidence conflict. Experimental results show that the new proposed model not only can evaluate digital image trustworthiness effectively, but also resolve some problems which puzzling current digital image forensic technology.
  • Keywords
    case-based reasoning; computer forensics; image coding; image fusion; steganography; Dempster-Shafer evidence theory; digital image forensic methods; digital image process tools; digital image trustworthiness evaluation model; evidence conflict; feature fusion method; steganography tools; Computer science; Computer security; Digital images; Educational technology; Forensics; Information security; Multimedia computing; Steganography; Uncertainty; Watermarking; D-S evidence theory; digital image; trustworthiness evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Information Networking and Security, 2009. MINES '09. International Conference on
  • Conference_Location
    Hubei
  • Print_ISBN
    978-0-7695-3843-3
  • Electronic_ISBN
    978-1-4244-5068-8
  • Type

    conf

  • DOI
    10.1109/MINES.2009.154
  • Filename
    5368968