Trust Management and Data Authentication in VANETs

Authors

  • Syed Fakhar Bilal Faculty of Information Technology, School of Software Engineering, Beijing University of Technology, Beijing, 100124, China.
  • Sana Basharat Department of Computer Science, University of Management and Technology, Lahore, Punjab, Pakistan.

Keywords:

User migration, SNS, SSLA, User switching intentions, PPM Framework

Abstract

The Vehicular Ad Hoc Networks (VANETs) have grown in popularity due to its capacity to provide both safety and non-safety services that rely on communication between vehicles and diverse network entities. However, it is crucial to understand that when using these services, malevolent vehicles may take advantage of the situation by spreading misleading information around the network for their benefit. As a result, vehicles must be authenticated to communicate with other vehicles and network entities. The pairing-free and digital signatures have historically been the most widely used signature methods for this purpose, but they can place a heavy computational burden on vehicles during the authentication process. The signing numerous vehicles at once is difficult because the pairing-free signature techniques are often created for single users. The huge key size of digital signatures can also cause them to operate more slowly. In contrast to traditional digital signatures and pairing-free signatures, we uses the Boneh-Gentry-Lynn-Shacham (BGLS) signature scheme for vehicle authentication. The BGLS signature ture method does not rely on computationally expensive bilinear pairingor conventional signature schemes. The proposed model emphasizes effectiveness while providing crucial characteristics like immutability, pseudonymity, decentralization, and scalability.

Downloads

Published

2025-03-01

How to Cite

Syed Fakhar Bilal, & Sana Basharat. (2025). Trust Management and Data Authentication in VANETs. Machine Learning for Human Intelligence, 3(01), 54–77. Retrieved from https://mlhi.org/index.php/main/article/view/19

Similar Articles

You may also start an advanced similarity search for this article.