High-Efficiency Traceability Mechanism for Multimedia Data in Consumer Internet of Things Combined with Blockchain

Area of Science:

• Computer Science
• Information Security
• Data Management

Background:

• Consumer Internet of Things (CIoT) systems face challenges with multimedia content manipulation and unauthorized distribution.
• Ensuring data authenticity and secure traceability in complex CIoT networks is critical.
• Traditional blockchain solutions exhibit high latency, limiting their suitability for real-time CIoT applications.

Purpose of the Study:

• To propose a high-efficiency blockchain-based method for multimedia data security and traceability in CIoT.
• To address the limitations of traditional blockchain mechanisms in handling large-scale, real-time data queries.
• To enhance copyright protection and data authenticity within CIoT environments.

Main Methods:

• Integration of blockchain technology with the PROV model for operational transparency and data credibility.
• Design of a joint index structure incorporating a fast index (traceability positioning tables) and a multi-bucket index (self-balancing binary trees).
• Experimental evaluation comparing the proposed method against traditional blockchain and SEBDB approaches.

Main Results:

• The proposed mechanism demonstrates stability with data volumes exceeding 2000 records.
• Significantly lower query time growth rates (12-18%) compared to traditional methods (45-62%).
• Reduced traversed records by 60-75% through avoidance of full-chain traversal, confirming efficiency.

Conclusions:

• The developed method offers superior performance for high-frequency CIoT multimedia queries.
• The approach effectively protects against data tampering and unauthorized distribution.
• This blockchain-based solution enhances security and traceability in CIoT multimedia data management.