Multimedia Automation Access Control of Big Data Open Resources Based on Blockchain

Area of Science:

• Computer Science
• Information Security
• Data Management

Background:

• Traditional big data access control methods lack transparency and security.
• Need for a decentralized and auditable system for managing access to open big data resources.

Purpose of the Study:

• To propose and evaluate a blockchain-based access control mechanism for big data open resources (BBAC-BD).
• To enhance the security, transparency, and auditability of big data access control.

Main Methods:

• Designed a strategy management contract using Bloom filters for efficient space utilization.
• Developed strategic management contract (PAP CONTRACT) and strategic decision contract (PDP CONTRACT).
• Implemented an access control method based on smart contracts for dynamic and automatic control.

Main Results:

• BBAC-BD ensures non-tampering, auditability, and verifiability of access control information.
• Simulation results indicate optimization effects with increased n/k ratio, leading to lower misjudgment rates.
• The system achieves a secure, reliable, and transparent access control architecture.

Conclusions:

• BBAC-BD overcomes limitations of third-party access control, offering transparency and automated control via smart contracts.
• The mechanism promotes flexible judicial processes and credible judgment results.
• BBAC-BD effectively facilitates the secure circulation and sharing of big data.