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Private Lightweight Blockchain and Edge Computing for Secure Data Transfer Using Byzantine Fault Tolerance in Vehicular Ad-Hoc Networks

  • Aman
  • , Mohammad S. Khan
  • , Nishant Raj Nigam
  • , Amitkumar V. Jha
  • , Bhargav Appasani
  • , Sherali Zeadally

Producción científica: Conference contributionrevisión exhaustiva

Resumen

Blockchain based Vehicular Ad-hoc NETworks (VANETs) eventhough secure are not suitable for real-time implementation because they are resource intensive. This work addresses the challenges associated with blockchain-based VANETs and offers a resilient framework for secure V2X communication a private lightweight blockchain and edge computing based solution for secure data transfer in VANETs. Using Basic Safety Message (BSM) data, this system employs a private blockchain with Byzantine Fault Tolerance (BFT) for enhanced security and integrity. The proposed architecture integrates roadside units, smart contracts, and a comprehensive intrusion detection mechanism to identify anomalies and faulty nodes (vehicles). The system is designed with scalability, latency, and mining time as core evaluation metrics so that it ensures robust performance in dynamic vehicular environments. Furthermore, we used pruning to improve the mining efficiency as edge devices have limited resources. Simulation results performed on Raspberry Pi5 demonstrate the time required to mine blocks and the impact of faulty nodes.

Idioma originalEnglish
Título de la publicación alojada2025 7th International Conference on Smart Applications, Communications and Networking, SmartNets 2025
ISBN (versión digital)9798331511968
DOI
EstadoPublished - 2025
Evento7th International Conference on Smart Applications, Communications and Networking, SmartNets 2025 - Hybrid, Istanbul, Turkey
Duración: jul 22 2025jul 24 2025

Serie de la publicación

Nombre2025 7th International Conference on Smart Applications, Communications and Networking, SmartNets 2025

Conference

Conference7th International Conference on Smart Applications, Communications and Networking, SmartNets 2025
País/TerritorioTurkey
CiudadHybrid, Istanbul
Período7/22/257/24/25

Nota bibliográfica

Publisher Copyright:
© 2025 IEEE.

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Signal Processing

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