• DocumentCode
    2962722
  • Title

    A new intelligent digital right management technique for E-learning content

  • Author

    Mirza, Hanane H. ; Thai, Hien D. ; Nakao, Zensho

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of the Ryukyus, Nishihara
  • fYear
    2008
  • fDate
    1-8 June 2008
  • Firstpage
    3577
  • Lastpage
    3581
  • Abstract
    The digitalization of e-learning sources makes it an easy target for frauds, conterfeiting and content stealing. In this paper we present a new technique to deal with the security problems of e-learning content, its authentication and digital right management. The proposed technique is done by inserting a digital logo image, which serves as watermark signals, in the audio stream of e-learning material. This technique is based on modulated complex lapped transform that was selected for its audio reconstruction properties and the extraction of the watermark is performed using an independent component analysis algorithm. To demonstrate the effectiveness of the proposed method, a real world implementation has been done and the algorithm shows quite good visual and audible quality in watermarked content, as well as a high robustness against common signal processing attacks.
  • Keywords
    audio signal processing; computer aided instruction; digital rights management; image coding; independent component analysis; message authentication; signal reconstruction; transforms; watermarking; audio reconstruction properties; audio stream; content stealing; digital logo image; e-learning content authentication; independent component analysis algorithm; intelligent digital right management; modulated complex lapped transform; security problems; signal processing attacks; watermark signals; Authentication; Content management; Electronic learning; Image reconstruction; Independent component analysis; Robustness; Security; Signal processing algorithms; Streaming media; Watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-1820-6
  • Electronic_ISBN
    1098-7576
  • Type

    conf

  • DOI
    10.1109/IJCNN.2008.4634309
  • Filename
    4634309