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Distributed Blockchain-Based Platform for Unmanned Aerial Vehicles.

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This study introduces a secure, lightweight blockchain for drone communication in the Internet of Things (IoT). The system enhances security and efficiency for drone networks, improving data integrity and coordination.

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Cybersecurity

Background:

  • The Internet of Things (IoT) increasingly utilizes drones for applications like smart grids and healthcare.
  • Securing drone-to-ground communication is critical for preventing vulnerabilities and ensuring reliable operation in IoT environments.
  • Existing blockchain solutions may present high computational and storage demands for drone networks.

Purpose of the Study:

  • To propose a distributed Unmanned Aerial Vehicle (UAV) scheme using blockchain for secure communication within an IoT context.
  • To develop a novel, lightweight blockchain architecture optimized for reduced resource requirements.
  • To enhance the dependability and security of decentralized drone networks.

Main Methods:

  • Implementation of a distributed UAV system integrating blockchain technology with IoT and cloud server network topology.
  • Development of a unique, secure, and lightweight blockchain architecture.
  • Introduction of a novel reputation-based consensus protocol for network dependability.
  • Establishment of diverse transaction types for varied data access.

Main Results:

  • The proposed lightweight blockchain architecture successfully reduces computing and storage overhead while maintaining security.
  • The reputation-based consensus protocol enhances the dependability of the decentralized drone network.
  • Performance evaluations demonstrate statistical effectiveness in temporal delay, packet flow, precision, specificity, sensitivity, and security efficiency.

Conclusions:

  • The presented blockchain-based distributed system offers a secure and efficient solution for drone communications in IoT.
  • The lightweight blockchain architecture and reputation-based consensus protocol are effective in addressing the challenges of drone network security and resource constraints.
  • The system demonstrates significant potential for improving the reliability and safety of drone applications.