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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Cybersecurity

Background:

  • The Internet of Things (IoT) has expanded to include unmanned aerial vehicles (UAVs), creating the Internet of Unmanned Aerial Vehicles (IoUAV).
  • Security is a critical challenge in IoUAV systems, impacting industrial applications.
  • Existing security measures are insufficient for the complex demands of coordinated UAV operations.

Purpose of the Study:

  • To develop and evaluate a novel layered authentication approach for secure IoUAV communication.
  • To address the security vulnerabilities inherent in managing and coordinating UAVs within an IoT framework.
  • To enhance the reliability and safety of data transmission in IoUAV systems.

Main Methods:

  • A four-module layered security architecture was designed: pre-deployment, user registration, login, and authentication.
  • UAVs are registered within the IoUAV registry.
  • Users are registered to access real-time UAV data.
  • A multi-entity authentication process (users, servers, UAVs) ensures secure data exchange.

Main Results:

  • The proposed layered authentication method significantly improves IoUAV security.
  • Achieved superior performance metrics compared to state-of-the-art techniques.
  • Demonstrated low latency (3.255s), high throughput (90.15%), and reduced packet loss (8.854%).

Conclusions:

  • The developed layered authentication approach provides a robust solution for IoUAV security.
  • The system effectively facilitates safe and real-time communication in industrial UAV networks.
  • The proposed method represents a significant advancement in securing the Internet of Unmanned Aerial Vehicles.