Skip to main navigation Skip to search Skip to main content

Design of a provable secure lightweight privacy-preserving authentication protocol for autonomous vehicles in IoT systems

  • Mohd Shariq
  • , Ismail Taha Ahmed
  • , Mehedi Masud
  • , Aymen Dia Eddine Berini
  • , Norziana Jamil

Research output: Contribution to journalArticlepeer-review

Abstract

The rapid advancement of the Internet of Things (IoT) has enabled the adoption of autonomous vehicles (AVs) and drones in intelligent transportation systems (ITS), improving traffic efficiency and safety. However, security and privacy in interconnected ITS environments is a major concern. It is imperative to safeguard sensitive information from various known attacks while enabling secure communication. Keeping in view the security and privacy of autonomous vehicles in IoT systems, this paper puts forward Provable Secure Lightweight Privacy-Preserving Authentication Protocol (PSLAP). The proposed PSLAP protocol achieves high-level security by utilizing cryptographic primitives such as exclusive-OR, secure one-way hash, elliptic curve cryptography (ECC), and concatenation operators. The proposed PSLAP protocol is demonstrated to be resistant to numerous known security assaults through an informal security and privacy assessment. This study presents a formal security analysis using a widely accepted real-or-random (ROR) model which demonstrates the security hardness of the proposed scheme. Additionally, the performance analysis shows that the proposed protocol has minimal computation and communication costs compared to other existing protocols.

Original languageEnglish
Article number111155
JournalComputer Networks
Volume261
DOIs
Publication statusPublished - Apr 2025

Keywords

  • Authentication
  • Autonomous things
  • Lightweight
  • Privacy
  • Provable secure
  • Security

ASJC Scopus subject areas

  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Design of a provable secure lightweight privacy-preserving authentication protocol for autonomous vehicles in IoT systems'. Together they form a unique fingerprint.

Cite this