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

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  • 1College of Computer Science and Engineering, Dalian Minzu University, Dalian, China.

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This study introduces DRPChain, a blockchain system for digital image copyright management. It uses a robust hashing algorithm and the K-Raft consensus protocol for enhanced protection against unauthorized replication.

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Area of Science:

  • Computer Science
  • Information Security
  • Digital Forensics

Background:

  • Digital image copyright protection faces challenges from unauthorized replication and distribution.
  • Existing blockchain solutions lack large-scale validation and dedicated consensus protocols for image copyright management.

Purpose of the Study:

  • To introduce DRPChain, a novel blockchain-based system for digital image copyright management.
  • To address the limitations of current systems by incorporating robust image hashing and a tailored consensus algorithm.

Main Methods:

  • Development of DRPChain, featuring a cropping-resistant robust image hashing algorithm.
  • Design and implementation of the K-Raft consensus algorithm specifically for image copyright protection.
  • Experimental validation and comparative analysis against existing algorithms (Raft, PoW, PBFT).

Main Results:

  • The image hashing algorithm demonstrated an 85% success rate in watermark extraction, outperforming the original scheme by 10%.
  • K-Raft reduced block error rates by 2% and improved efficiency by 300ms compared to Raft.
  • K-Raft showed superior efficiency, decentralization, and throughput compared to Proof-of-Work (PoW) and Practical Byzantine Fault Tolerance (PBFT).

Conclusions:

  • DRPChain offers an effective solution for digital image copyright management using blockchain technology.
  • The K-Raft consensus algorithm is well-suited for the demands of image copyright protection.
  • This research provides a foundation for future advancements in blockchain-based copyright protection systems.