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
Link To Document :
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