Startup Fortune, December 2, 2020: The China National Radio and Television Administration (NRTA) recently released the China Radio, Television, and Internet Media Blockchain Application Whitepaper. Initialized by the Science and Technology Division of NRTA, this whitepaper utilizes expertise from administrations, universities, and companies of media, blockchain, web infrastructure, and privacy.
The whitepaper’s objective is to introduce the traceability, authenticity, and security of blockchain in radio, television, and other forms of media. ARPA participated in the whitepaper drafting and review process and contributed to the privacy-preserving technology in this media-oriented blockchain design.
This document consists of three parts, including an overview of blockchain applications, a description of the content approval system, and an example of these systems being applied at the county-level. The first section introduces blockchain and its development while sketching potential media applications.
The second part concentrates on the content approval system and tries to build a metadata-based circulation system. By combining with other categorization techniques like big data analysis and artificial intelligence, this system can track and record the credit of content providers and leverage the mutual trust between them.
In the final section, it describes a specific application of blockchain technology in county-level convergence media, including the architecture, specification, and infrastructure of the consortium chain. County-level convergence media is an essential component of the Chinese radio and television system, which helps to share media from different vendors within or among counties.
ARPA provides the privacy-preserving functionality design to the media blockchain, which can achieve a cohesive and secure use of personal or business data in the transaction, circulation, and analysis of media content.
In the case of county-level convergence media, ARPA deploys multi-party computation (MPC) based processing techniques to ensure data subjects are protected against leakage of individual and sensitive data while the information is being processed. With the help of privacy-friendly algorithms, data subjects and data controllers can make the media data available without copyright issues. This will lead to an improved feeling of privacy among data subjects and, consequentially, to an increased willingness of those subjects to allow their information to be processed.
A secure computation module is proposed by ARPA as a core-layer component in the blockchain infrastructure which facilitates the privacy feature in the high-level architecture. This module can hide the personal and sensitive part of on-chain data like financial or health information, thus it can keep private and tamper-resistant at the same time. Furthermore, the private data can be processed later by MPC-based big data algorithms. Dedicated MPC techniques are equipped to handle the specific needs of the media blockchain. Apart from the potential requirements of data sharing and joint-analysis, secure computation features can also help to comply with privacy legislation.
This content is provided for news syndication by Startup Fortune.
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