Work

A Machine Learning Approach for Secure Communication Using Blockchain for IoT‐Based VANETs

Year: 2025

Type: article

Abstract: ABSTRACT Vehicular ad hoc networks (VANETs) have a dynamic topology. This nature makes them highly susceptible to security attacks. It also leads to ineffective data delivery. In solving this, we introduce PPCMV‐BLOCK, a new framework, which combines information‐centric networking (ICN) with Blockchain to create a secure and trusted content exchange framework. Our approach uses a content security policy (CSP) for encrypted transmission. It employs an authenticate vehicle data (AVD) algorithm for integrity. It also uses a support vector machine (SVM) model for malicious node detection. The SVM achieves 91.3% accuracy, 92.4% precision, and a 93.6% F‐score. Comparisons with benchmarks show significant performance gains. Our method shows a 10% increase in bandwidth usage and a 13% increase in throughput. It also achieves 9% better network content usage and 14% faster content delivery. These improvements persist even under attack. These findings decisively confirm the high‐performance and robustness of PPCMV‐BLOCK on IoT‐based VANETs.

Source: IET Communications

DOI: 10.1049/cmu2.70113

Authors: Jarallah Alqahtani, Mahmood ul Hassan, Abid Ali, Muhammad Akram

Institutions: Najran University, IIC University of Technology, University of Engineering and Technology Taxila

Language: English

Topic: Vehicular Ad Hoc Networks (VANETs)

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,540