Blockchain-Driven Intelligent Scheme for IoT-Based Public Safety System beyond 5G Networks

Area of Science:

• Computer Science
• Telecommunications Engineering
• Cybersecurity

Background:

• Mobile applications are evolving towards futuristic uses like autonomous vehicles and smart cities.
• These applications demand ubiquitous, real-time, and secure communication, which sixth-generation (6G) wireless technology aims to provide with high reliability and low latency.
• Network security and resource management are complex, with adversaries posing threats like data injection and modification.

Purpose of the Study:

• To propose a solution for security, reliability, and data-sharing privacy in smart applications.
• To present a case study on public safety applications using AI, blockchain, and 6G.
• To address data integrity attacks on crime data within this framework.

Main Methods:

• Integration of artificial intelligence (AI) for intelligent processing.
• Implementation of blockchain technology for secure and decentralized data management.
• Utilization of 6G wireless technology for high-performance communication.

Main Results:

• The proposed system effectively handles data integrity attacks on crime data.
• Performance was assessed using metrics including blockchain scalability, packet drop ratio, and AI training accuracy.
• The study demonstrated the viability of combining AI, blockchain, and 6G for enhanced public safety.

Conclusions:

• Blockchain technology offers a robust solution to security, reliability, and privacy concerns in smart applications.
• The integration of AI, blockchain, and 6G networks shows significant promise for future wireless systems, particularly in public safety.
• Further research is needed to address the challenges of adopting blockchain in 6G networks.