• DocumentCode
    3351750
  • Title

    Undetectable image tampering through JPEG compression anti-forensics

  • Author

    Stamm, Matthew C. ; Tjoa, Steven K. ; Lin, W. Sabrina ; Liu, K. J Ray

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Maryland, College Park, MD, USA
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    2109
  • Lastpage
    2112
  • Abstract
    Recently, a number of digital image forensic techniques have been developed which are capable of identifying an image´s origin, tracing its processing history, and detecting image forgeries. Though these techniques are capable of identifying standard image manipulations, they do not address the possibility that anti-forensic operations may be designed and used to hide evidence of image tampering. In this paper, we propose an anti-forensic operation capable of removing blocking artifacts from a previously JPEG compressed image. Furthermore, we show that by using this operation along with another anti-forensic operation which we recently proposed, we are able to fool forensic methods designed to detect evidence of JPEG compression in decoded images, determine an image´s origin, detect double JPEG compression, and identify cut-and-paste image forgeries.
  • Keywords
    computer forensics; data compression; decoding; image coding; JPEG compression anti-forensics; blocking artifact removal; cut-and-paste image forgery identification; digital image forensic technique; double JPEG compression detection; image decoding; image forgery detection; image manipulation; image origin identification; processing history tracing; undetectable image tampering; Discrete cosine transforms; Forensics; Forgery; Image coding; Q factor; Quantization; Transform coding; Anti-Forensics; Digital Forensics; JPEG Compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5652553
  • Filename
    5652553