• DocumentCode
    3064911
  • Title

    Blind Multi-Class Steganalysis System Using Wavelet Statistics

  • Author

    Savoldi, Antonio ; Gubian, Paolo

  • Author_Institution
    Univ. of Brescia, Brescia
  • Volume
    2
  • fYear
    2007
  • fDate
    26-28 Nov. 2007
  • Firstpage
    93
  • Lastpage
    96
  • Abstract
    The aim of this paper is to present an effective multi-class steganalysis system, based on high-order wavelet statistics, capable of attributing stego images to four popular stenographically algorithms, namely F5 [15], Outguess [11], JP Hide&Seek [9], and Steghide [6]. The proposed method, based on a clustering approach, provides significantly reliable results.
  • Keywords
    cryptography; data encapsulation; image processing; statistical analysis; wavelet transforms; F5; JP Hide&Seek; Outguess; Steghide; blind multi-class steganalysis system; high-order wavelet statistics; stegano- graphic algorithms; stego images; Automation; Clustering algorithms; Data mining; Digital images; Image analysis; Image databases; Machine learning; Spatial databases; Statistics; Steganography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Hiding and Multimedia Signal Processing, 2007. IIHMSP 2007. Third International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-0-7695-2994-1
  • Type

    conf

  • DOI
    10.1109/IIHMSP.2007.4457661
  • Filename
    4457661
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3064911