Open Access

ARTICLE

A Secure Blockchain-Based Vehicular Collision Avoidance Protocol: Detecting and Preventing Blackhole Attacks

by Mosab Manaseer¹, Maram Bani Younes^2,*

1 Software Engineering, Philadelphia University, Amman, 19392, Jordan
2 Cybersecurity and Information Security, Philadelphia University, Amman, 19392, Jordan

* Corresponding Author: Maram Bani Younes. Email:

Computer Systems Science and Engineering 2024, 48(6), 1699-1721. https://doi.org/10.32604/csse.2024.055128

Received 18 June 2024; Accepted 05 October 2024; Issue published 22 November 2024

Abstract

This work aims to examine the vulnerabilities and threats in the applications of intelligent transport systems, especially collision avoidance protocols. It focuses on achieving the availability of network communication among traveling vehicles. Finally, it aims to find a secure solution to prevent blackhole attacks on vehicular network communications. The proposed solution relies on authenticating vehicles by joining a blockchain network. This technology provides identification information and receives cryptography keys. Moreover, the ad hoc on-demand distance vector (AODV) protocol is used for route discovery and ensuring reliable node communication. The system activates an adaptive mode for monitoring communications and continually adjusts trust scores based on packet delivery performance. From the experimental study, we can infer that the proposed protocol has successfully detected and prevented blackhole attacks for different numbers of simulated vehicles and at different traveling speeds. This reduces accident rates by 60% and increases the packet delivery ratio and the throughput of the connecting network by 40% and 20%, respectively. However, extra overheads in delay and memory are required to create and initialize the blockchain network.

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Keywords

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