A Digital Media Subscription Management System Combined with Blockchain and Proxy Re-Encryption Mechanisms

Abstract

The subscription economy was born because the relationship between creators and customers is different than it used to be. The era of the creator economy seems to be filled with boundless promise, but at the end of the day, creators are just slaves to tech giants. Neither the control of the content created, nor the money made in their pockets is in complete control of the creator. The blockchain can completely solve these injustices monopolized by enterprises. In the blockchain era, all kinds of creations from music, and video-to-text can be turned into assets that can be purchased and traded through smart contracts. In the music industry, for example, creators do not need to share profits with streaming platforms and record labels and get all the benefits directly. In addition, when the content created is on the chain, every transaction will be recorded on the blockchain, and everyone can inquire about it, avoiding opacity or causing disputes in the future. However, with the structure of the standard blockchain, as long as the registration is successful, each role in the chain will have permanent data access rights, and the flexibility of access control is poor. Therefore, this study proposes a digital media subscription mechanism based on the Hyperledger blockchain architecture combined with proxy re-encryption. We use symmetric and asymmetric cryptography, smart contracts, and algorithms to design our protocol. When the licensee violates the agreement with the creator, the creator can revoke the access rights to the digital media of the licensee at any time, to realize more secure and convenient digital media transmission. The proposed scheme meets various security requirements of blockchain architecture, and we have also applied the BAN logic proof model to evaluate the correctness of the proposed scheme. This study also proposes an arbitration mechanism when the dispute occurs, and performed well in terms of communication and computational costs.