New Trust Management Scheme Based on Blockchain and KNN Reinforcement Learning Algorithm

There has been a continual rise in the quantity of smart and autonomous automobiles in recent decades. the effectiveness of communication among vehicles in Vehicular Ad-hoc Networks (VANET) is critical for ensuring the safety of drivers’ lives. the primary objective of VANET is to share critical information regarding life-threatening events, such as traffic jams and accident alerts in a timely and accurate manner. Nevertheless, typical VANETs encounter several security issues involving threats to confidentiality, integrity, and availability. This paper proposes a new decentralized and tamper-resistant scheme for privacy preservation. We designed a new trust management system that utilizes blockchain technology. We strive to establish trust between vehicles and infrastructure and preserve privacy by guaranteeing the authenticity and integrity of the information exchanged in VANETS. Our proposal adopts the principles of reinforcement learning to dynamically evaluate and allocate trust scores to vehicles and infrastructure based on their behavior. The scheme’s performance has been evaluated based on key metrics. The results show that our new system provides an effective behavior management technique while preserving vehicle privacy.

@article{Aljohani2024,
  title     = {New Trust Management Scheme Based on Blockchain and KNN Reinforcement Learning Algorithm},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {4},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {Ahdab Hulayyil Aljohani and Abdulaziz Al-shammri},
  doi       = {10.14569/IJACSA.2024.01504117},
  url       = {https://doi.org/10.14569/IJACSA.2024.01504117}
}