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ARTICLE
A Novel Signature-Based Secure Intrusion Detection for Smart Transportation Systems
1 College of Computer Science and Engineering, Taibah University, Al-Madinah Al-Munawwarah, 42353, Saudi Arabia
2 Department of Computer Science, GC University Lahore, Lahore, 54000, Pakistan
3 Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, 12121, Thailand
4 Department of Software and Communication Engineering, Hongik University, Sejong-City, 30016, Republic of Korea
* Corresponding Author: Byung-Seo Kim. Email:
Computers, Materials & Continua 2026, 86(3), 54 https://doi.org/10.32604/cmc.2025.072281
Received 23 August 2025; Accepted 29 October 2025; Issue published 12 January 2026
Abstract
The increased connectivity and reliance on digital technologies have exposed smart transportation systems to various cyber threats, making intrusion detection a critical aspect of ensuring their secure operation. Traditional intrusion detection systems have limitations in terms of centralized architecture, lack of transparency, and vulnerability to single points of failure. This is where the integration of blockchain technology with signature-based intrusion detection can provide a robust and decentralized solution for securing smart transportation systems. This study tackles the issue of database manipulation attacks in smart transportation networks by proposing a signature-based intrusion detection system. The introduced signature facilitates accurate detection and systematic classification of attacks, enabling categorization according to their severity levels within the transportation infrastructure. Through comparative analysis, the research demonstrates that the blockchain-based IDS outperforms traditional approaches in terms of security, resilience, and data integrity.Keywords
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Copyright © 2026 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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