EFFICIENT TRAITOR TRACING FOR CONTENT PROTECTION

We propose a new design for large-scale multimedia content protection systems. Our design leverages cloud infrastructures to provide cost efficiency, rapid deployment, scalability, and elasticity to accommodate varying workloads. The proposed system can be used to protect different multimedia content types, including videos, images, audio clips, songs, and music clips. The system can be deployed on private and/or public clouds. Our system has two novel components: (i) method to create signatures of videos, and (ii) distributed matching engine for multimedia objects. The signature method creates robust and representative signatures of videos that capture the depth signals in these videos and it is computationally efficient to compute and compare as well as it requires small storage. The distributed matching engine achieves high scalability and it is designed to support different multimedia objects. We implemented the proposed system and deployed it on two clouds: Amazon cloud and our private cloud. Our experiments with more than 11,000 videos and 1 million images show the high accuracy and scalability of the proposed system. In addition, we compared our system to the protection system used by YouTube and our results show that the YouTube protection system fails to detect most copies of videos, while our system detects more than 98% of them.

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Modified fully public-key traitor tracing schemes

IET International Conference on Wireless Mobile and Multimedia Networks Proceedings (ICWMMN 2006) ◽

10.1049/cp:20061558 ◽

2006 ◽

Author(s):

Chen Yang ◽

Xiangguo Cheng ◽

Wenping Ma ◽

Xinmei Wang

Keyword(s):

Public Key ◽

Traitor Tracing ◽

Traitor Tracing Schemes

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Blockchain-Based Multimedia Content Protection: Review and Open Challenges

Applied Sciences ◽

10.3390/app11010001 ◽

2020 ◽

Vol 11 (1) ◽

pp. 1

Author(s):

Amna Qureshi ◽

David Megías Jiménez

Keyword(s):

Copyright Protection ◽

Digital Rights Management ◽

Performance Criteria ◽

Future Research ◽

Multimedia Content ◽

Content Protection ◽

Technical Aspects ◽

Blockchain Technology ◽

Protection Systems ◽

Multimedia Content Protection

In this paper, we provide a holistic survey of multimedia content protection applications in which blockchain technology is being used. A taxonomy is developed to classify these applications with reference to the technical aspects of blockchain technology, content protection techniques, namely, encryption, digital rights management, digital watermarking and fingerprinting (or transaction tracking), and performance criteria. The study of the literature reveals that there is currently no complete and systematic taxonomy dedicated to blockchain-based copyright protection applications. Moreover, the number of successfully developed blockchain-based content protection systems is very low. This points towards a research gap. To fill this gap, we propose a taxonomy that integrates technical aspects and application knowledge and can guide the researchers towards the development of blockchain-based multimedia copyright protection systems. Furthermore, the paper discusses some technical challenges and outlines future research directions.

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