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

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.