• DocumentCode
    2841897
  • Title

    Visual Detection of High Capacity Natural Image Steganography: Is A Known Cover Effective?

  • Author

    Watters, Paul A. ; Martin, Frances ; Stripf, Steffen

  • Author_Institution
    Macquarie Univ., Sydney
  • fYear
    2007
  • fDate
    15-17 April 2007
  • Firstpage
    380
  • Lastpage
    385
  • Abstract
    In terrorist and criminal investigations, law enforcement agencies may be called upon to visually inspect images that may or may not contain embedded steganographic data. We compared the accuracy of two different approaches to visual steganalysis using signal detection theory: a same/different task, where comparisons were made to a known cover, and a yes/no task, where no cover was provided. Using least significant bit steganography (encoded across multiple bit layers to increase capacity) in 15 colour natural images from the VisTex database, using a controlled same/different task (N=58) and a yes/no task (N=53), the presence of a known cover resulted in generally lower accuracy, contrary to expectation: d´>1 was only observed for colour layers 5-8 in the same/different task, while d´1> was observed for layers 4-8 in the yes/no task. In summary, steganographic in the lower layers appears to be highly resistant to visual steganalysis with or without a known covers.
  • Keywords
    cryptography; data encapsulation; image coding; image recognition; signal detection; terrorism; VisTex database; criminal investigations; high capacity natural image steganography; human factors; law enforcement agencies; multiple bit layers; signal detection theory; terrorist investigations; visual detection; visual steganalysis; Cryptography; Embedded computing; Image databases; Internet; Law enforcement; Peer to peer computing; Psychology; Signal detection; Steganography; Terrorism; Counter-terrorism; Discriminability; Human Factors; Steganography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Sensing and Control, 2007 IEEE International Conference on
  • Conference_Location
    London
  • Print_ISBN
    1-4244-1076-2
  • Electronic_ISBN
    1-4244-1076-2
  • Type

    conf

  • DOI
    10.1109/ICNSC.2007.372809
  • Filename
    4239022