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Title: Aggregate licenses validation for digital rights violation detection
Authors: Sachan, A.
Emmanuel, S.
Kankanhalli, M.S. 
Keywords: Digital Rights Management (DRM)
License organization
License validation
Issue Date: 2012
Citation: Sachan, A., Emmanuel, S., Kankanhalli, M.S. (2012). Aggregate licenses validation for digital rights violation detection. ACM Transactions on Multimedia Computing, Communications and Applications 8 S (2). ScholarBank@NUS Repository.
Abstract: Digital Rights Management (DRM) is the term associated with the set of technologies to prevent illegal multimedia content distribution and consumption. DRM systems generally involve multiple parties such as owner, distributors, and consumers. The owner issues redistribution licenses to its distributors. The distributors in turn using their received redistribution licenses can generate and issue new redistribution licenses to other distributors and new usage licenses to consumers. As a part of rights violation detection, these newly generated licenses must be validated by a validation authority against the redistribution license used to generate them. The validation of these newly generated licenses becomes quite complex when there exist multiple redistribution licenses for a media with the distributors. In such cases, the validation process requires validation using an exponential number (to the number of redistribution licenses) of validation inequalities and each validation inequality may contain up to an exponential number of summation terms. This makes the validation process computationally intensive and necessitates to do the validation efficiently. To overcome this, we propose validation tree, a prefix-tree-based validation method to do the validation efficiently. Theoretical analysis and experimental results show that our proposed technique reduces the validation time significantly. © 2012 ACM.
Source Title: ACM Transactions on Multimedia Computing, Communications and Applications
ISSN: 15516857
DOI: 10.1145/2344436.2344443
Appears in Collections:Staff Publications

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