• DocumentCode
    3105544
  • Title

    Video authentication in digital forensic

  • Author

    Gupta, Ankita ; Gupta, Shilpi ; Mehra, Anu

  • Author_Institution
    ASET, Amity Univ., Noida, India
  • fYear
    2015
  • fDate
    25-27 Feb. 2015
  • Firstpage
    659
  • Lastpage
    663
  • Abstract
    The large amount of video content is being transmitted over internet and other channels. With the help of existing multimedia editing tools one can easily change the content of data which lead to lose the authenticity of the information. Thus, it becomes necessary to develop different methods by which the authenticity of the videos can be confirmed. In the past researchers have proposed several methods for authentication of videos. This paper presents an algorithm that is divided in two parts: computing the repeated frames by processing the image pixels to produce a frame-by-frame motion energy time and computing the tampering attack and its location with the help of the Support Vector Machine. This helps to predict whether the given video has been tampered or not.
  • Keywords
    image forensics; image motion analysis; security of data; support vector machines; video signal processing; digital forensic; frame-by-frame motion energy time; image pixel processing; support vector machine; tampering attack; video authentication; Authentication; Forensics; Image quality; Multimedia communication; Streaming media; Support vector machines; Watermarking; Blind Image Quality Assessment; Digital Forensics; No reference; Reduce Reference; Spatial domain; Support Vector Machine; Tampering attacks; Temporal domain; Video authentication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE), 2015 International Conference on
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-8432-9
  • Type

    conf

  • DOI
    10.1109/ABLAZE.2015.7154945
  • Filename
    7154945