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DRPChain: A new blockchain-based trusted DRM scheme for image content protection

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  • Jian Yun
  • Xinyu Liu
  • Yusheng Lu
  • Jingdan Guan
  • Xinyang Liu

Abstract

The unauthorized replication and distribution of digital images pose significant challenges to copyright protection. While existing solutions incorporate blockchain-based techniques such as perceptual hashing and digital watermarking, they lack large-scale experimental validation and a dedicated blockchain consensus protocol for image copyright management. This paper introduces DRPChain, a novel digital image copyright management system that addresses these issues. DRPChain employs an efficient cropping-resistant robust image hashing algorithm to defend against 14 common image attacks, demonstrating an 85% success rate in watermark extraction, 10% higher than the original scheme. Moreover, the paper designs the K-Raft consensus algorithm tailored for image copyright protection. Comparative experiments with Raft and benchmarking against PoW and PBFT algorithms show that K-Raft reduces block error rates by 2%, improves efficiency by 300ms compared to Raft, and exhibits superior efficiency,decentralization, and throughput compared to PoW and PBFT. These advantages make K-Raft more suitable for digital image copyright protection. This research contributes valuable insights into using blockchain technology for digital copyright protection, providing a solid foundation for future exploration.

Suggested Citation

  • Jian Yun & Xinyu Liu & Yusheng Lu & Jingdan Guan & Xinyang Liu, 2024. "DRPChain: A new blockchain-based trusted DRM scheme for image content protection," PLOS ONE, Public Library of Science, vol. 19(9), pages 1-28, September.
    • Handle: RePEc:plo:pone00:0309743
    DOI: 10.1371/journal.pone.0309743
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    References listed on IDEAS

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    1. Baocheng Wang & Zetao Li, 2021. "Healthchain: A Privacy Protection System for Medical Data Based on Blockchain," Future Internet, MDPI, vol. 13(10), pages 1-16, September.
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