Pinni B building auditorium 1096, address: Kanslerinrinne 1
Doctoral defence of M.Sc. Wenhui Lu
The field of science of the dissertation is Computer Science.
The opponent is Professor Tero Päivärinta (Luleå University of Technology, Sweden). Professor Jyrki Nummenmaa acts as the custos.
The language of the dissertation defence is English.
Effective Rights Exporting Process
Digitalization has changed the content industry. Digital content can be easily counterfeited. Moreover, with the help of the Internet the counterfeited content can be distributed at almost no cost. Digital Rights Management (DRM) was introduced to govern the usage and distribution of digital content. The reception of DRM has been mixed in the content industry. Lack of DRM interoperability has been well noted from business, legal, and technology perspectives. Solutions towards System interoperability of DRM promised to solve most of the issues related to the lack of DRM interoperability. Rights exporting, as a critical task of DRM system interoperability, is the main topic of this dissertation. This dissertation focuses on the effectiveness of rights exporting.
This dissertation started with a thorough literature review. Based on the previous research, a rights model was established to capture the essence of rights for rights exporting. Then algorithms like rights decomposition and rights adaptation were developed on top of rights model. By characterizing the rights exporting process, an input-output-process model was built to formalize the process framework of rights exporting. The principles of rights exporting were discovered to guide the results of rights exporting and to relatively measure the effectiveness of rights exporting. Along the iterations of process optimization, new algorithms were developed to address identified issues, such as passive condition pre-enforcement.
This dissertation results prove that rights exporting can be achieved with the process framework proposed. Moreover, with the help of developed algorithms, rights exporting can be performed in a more effective manner.
The dissertation is published in the publication series of Acta Universitatis Tamperensis; 2234, Tampere University Press, Tampere 2016. ISBN 978-952-03-0283-2, ISSN 1455-1616. The dissertation is also published in the e-series Acta Electronica Universitatis Tamperensis; 1734, Tampere University Press 2016. ISBN 978-952-03-0284-9, ISSN 1456-954X.