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

Mosab Manaseer1, Maram Bani Younes2,*

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

* Corresponding Author: Maram Bani Younes. Email: email

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

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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APA Style
Manaseer, M., Younes, M.B. (2024). A secure blockchain-based vehicular collision avoidance protocol: detecting and preventing blackhole attacks. Computer Systems Science and Engineering, 48(6), 1699-1721. https://doi.org/10.32604/csse.2024.055128
Vancouver Style
Manaseer M, Younes MB. A secure blockchain-based vehicular collision avoidance protocol: detecting and preventing blackhole attacks. Comput Syst Sci Eng. 2024;48(6):1699-1721 https://doi.org/10.32604/csse.2024.055128
IEEE Style
M. Manaseer and M.B. Younes, “A Secure Blockchain-Based Vehicular Collision Avoidance Protocol: Detecting and Preventing Blackhole Attacks,” Comput. Syst. Sci. Eng., vol. 48, no. 6, pp. 1699-1721, 2024. https://doi.org/10.32604/csse.2024.055128



cc Copyright © 2024 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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