Issues and challenges in securing interoperability of DRM systems in the digital music market
George, Carlisle and Chandak, Navin (2006) Issues and challenges in securing interoperability of DRM systems in the digital music market. International Review of Law Computers and Technology, 20 (3). pp. 271-285. ISSN 1360-0869
Full text is not in this repository.
Official URL: http://dx.doi.org/10.1080/13600860600852143
This item is available in the Library Catalogue
In the digital music market (and accompanying digital players), use of different digital rights management (DRM) systems, have effectively locked-in consumers to proprietary technologies of respective companies. Currently, no single DRM standard exists for digital music, therefore, music purchased from one competitor may not be compatible with another competitor’s jukebox software or digital player. There is little incentive for leading competitors to license their technology or provide support for other technologies to enable interoperability of different technologies. Consequently, consumers purchasing from such competitors in-effect become locked into their proprietary technology and its accompanying DRM systems. This paper examines the consequences of such market behaviour focusing on the most popular music store iTunes (owned by Apple), its dominance in the industry and the implications of Apple’s decision not to open its FairPlay DRM scheme that controls all music purchased from iTunes. It discusses the attempt by RealNetworks to secure interoperability with Apple’s FairPlay scheme and the resultant response of Apple. Finally, it examines the potential benefits, problems and legal issues raised by the actions of RealNetworks and argues for interoperability.
|Research Areas:||Middlesex University Schools and Centres > School of Science and Technology > Computer Science|
Middlesex University Schools and Centres > School of Science and Technology > Computer Science > Aspects of Law and Ethics Related to Technology group
Middlesex University Schools and Centres > School of Science and Technology > Computer Science > Artificial Intelligence group
|Deposited On:||26 Apr 2010 13:42|
|Last Modified:||24 Oct 2014 15:35|
Repository staff only: item control page
Full text downloads (NB count will be zero if no full text documents are attached to the record)
Downloads per month over the past year