Secure Drone Network Edge Service Architecture Guaranteed by DAG-Based Blockchain for Flying Automation under 5G

Area of Science:

• Computer Science
• Electrical Engineering
• Robotics

Background:

• Increasing drone usage as Internet of Things (IoT) devices raises concerns about manual control misoperations.
• Drone flying automation is crucial but faces challenges from complex network environments and third-party service providers, leading to security and privacy issues.

Purpose of the Study:

• To propose an innovative architecture, Secure Drone Network Edge Service (SDNES), for real-time and reliable drone network services.
• To address security and privacy concerns in drone automation by integrating edge computing and blockchain technologies.

Main Methods:

• Implemented edge computing for low-latency services, leveraging 5G mobile networks.
• Utilized DAG-based blockchain to ensure network security, reliability, and prevention of malicious activities.
• Designed and implemented a specific service case: Drone Collision Avoidance Navigation Service based on SDNES.

Main Results:

• Experimental results validated the feasibility and rationality of the proposed SDNES architecture.
• The Drone Collision Avoidance Navigation Service demonstrated the practical application of SDNES.

Conclusions:

• SDNES is a promising architecture for enhancing drone flying automation.
• The integration of edge computing and blockchain effectively provides secure, reliable, and low-latency services for autonomous drones.