불법 콘텐츠 추적을 위한 공모방지 핑거프린팅과 DRM 연동에 관한 연구

Abstract

Recently, copyrights protection technology regarding contents can be classified by technology for ownership identification and secure contents distribution system. Early methods of ownership identification techniques emphasized the contents owner by digital watermarking algorithms, but today's dominated Internet environment emphasizes illegal distributor tracing techniques. Digital Fingerprinting is a technology for enforcing digital rights policies where by unique labels, known as digital fingerprints, are inserted into content prior to distribution. As they are used, illegal users can be traced. These fingerprints are typically embedded into the content using watermarking algorithms that are designed to be robust to a variety of attacks. To be effective, it must secure against collusion attacks where some colluders remove and alter their fingerprints. DRM(Digital Rights Management) is a technology that allows content owners to enter the space where digital content delivery to customers occurs over Internet to specify usage rights. DRM allows content providers to introduce new business models based on usage rules. The content providers have the option of defining such things as, number of times a particular piece of content can be played, content expiration dates and preview of content by a customer prior to purchase. In this thesis, we propose a new fingerprint code by using traces of roots of primitive polynomials. The proposed scheme can generate codes more easily and have more number of buyers than existing schemes. We also propose a new watermarking algorithm that embeds and extracts securely by using MPSK(M-ary Phase Shift Keying) technology. We have designed and implemented a DRM system for contents distribution, that is used in Internet environments. Finally, we propose FingerCryption, which interact with the DRM system as well as fingerprinting algorithms at the same time.