@Article{cmc.2025.072281,
AUTHOR = {Hanaa Nafea, Awais Qasim, Sana Abdul Sattar, Adeel Munawar, Muhammad Nadeem Ali, Byung-Seo Kim},
TITLE = {A Novel Signature-Based Secure Intrusion Detection for Smart Transportation Systems},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {86},
YEAR = {2026},
NUMBER = {3},
PAGES = {--},
URL = {http://www.techscience.com/cmc/v86n3/65459},
ISSN = {1546-2226},
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.},
DOI = {10.32604/cmc.2025.072281}
}