DocumentCode :
2426127
Title :
A Novel Digital Content Protection System Based on Iris Biometric
Author :
Wang, Meihua ; Fan, Kefeng ; Pei, Qingqi ; Wang, Shuguang ; Cao, Shan
Author_Institution :
Beijing Inf. Technol. Inst., Beijing
Volume :
4
fYear :
2007
fDate :
24-27 Aug. 2007
Firstpage :
221
Lastpage :
225
Abstract :
The increased popularity of the digital transactions has required more efficient protection schemes such as digital rights management system (DRM). This paper proposes a model that contains DRM, and identification methods using high security iris biometric system as an additional security layer for access to restricted data, which is characterized by its immutability and individuality. This model is designed to distinguish clients from unauthorized users, so that only valid users can have access to the digital contents. To sort out unauthorized users, iris recognition mechanism is adopted, rather than conventional passwords. Analysis shows the proposed method has the reliable feature, which will allow a better digital environment for contents design, distribution and implementation.
Keywords :
authorisation; biometrics (access control); image recognition; digital content protection system; digital rights management system; digital transactions; iris biometric system; iris recognition; system security; user authorization; Biometrics; Content management; Data security; Information technology; Iris recognition; Licenses; Protection; Software performance; Standardization; Web server;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
Type :
conf
DOI :
10.1109/FSKD.2007.101
Filename :
4406385
Link To Document :
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