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In recent years, with the development and update of business models and emerging technologies, there have been more and more forms of piracy and infringement of online video works. It is difficult for the department with copyright to confirm the copyright of the work and trace the source of piracy. Alliance blockchain technology can be partially decentralized, highly controllable, and data is not public by default, providing new ideas and methods for solving the above problems. The thesis proposes a multi-factor confirmation and traceability depositing method (MCTA) for video works of alliance blockchain. First, the alliance member nodes store the signature information of the person in charge in each step in the private chain during video production; second, the smart contract pre-processes the source video, implants watermarks and calculates video fingerprints, and creates a video ID for each video; Finally, double-factor authentication for the suspected infringement of pirated video to confirm the right. Carry on simulation experiment through Truffle+MiniNet+SimBlock. The results show that the method proposed in the thesis is effective and feasible for depositing video works.

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With the advent of the era of self media, the demand for video trading is becoming more and more obvious. Alliance blockchain has the characteristics of traceable transaction records, tamper proof transaction records, decentralized transactions and faster transaction speed than public chains. These features make it a trading platform. Trusted computing can solve the problem of non Byzantine attack in the aspect of hardware. This paper proposes a video transaction algorithm considering FISCO alliance chain and improved trusted computing. First, an improved trusted computing algorithm is used to prepare a trusted transaction environment. Second, the video summary information extraction algorithm is used to extract the summary information that can uniquely identify the video. Finally, based on the video transactions algorithm of FISCO alliance chain, the video summary information is traded on the chain. Experimental results show that the proposed algorithm is efficient and robust for video transactions. At the same time, the algorithm has low computational power requirements and algorithm complexity, which can provide technical support for provincial and county financial media centers and relevant media departments.

No abstract