An Advanced Cybersecurity Model for Protecting Smart Transport Systems against Emerging Threats
Journal Title: Engineering and Technology Journal - Year 2025, Vol 10, Issue 01
Abstract
Smart transport systems (STS) are revolutionizing urban mobility by integrating advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and real-time data analytics. However, this digital transformation has also increased the vulnerability of these systems to sophisticated cybersecurity threats. To address these challenges, this study proposes an advanced cybersecurity model designed specifically for protecting STS against emerging threats. The model employs a multi-layered security approach that integrates anomaly detection, threat intelligence, and real-time response mechanisms to safeguard critical transport infrastructure. The proposed framework utilizes machine learning algorithms to detect and predict cyber threats based on historical data, behavior patterns, and anomaly analysis. Threat intelligence is incorporated by leveraging global databases and blockchain technology for secure sharing of threat information. A zero-trust architecture ensures robust access control, while real-time response mechanisms mitigate the impact of potential attacks through automated containment strategies. The model's performance is evaluated using real-world data from smart transport systems, simulating various attack scenarios, including ransomware, distributed denial-of-service (DDoS), and advanced persistent threats (APTs). Results demonstrate significant improvements in threat detection accuracy, response time, and overall system resilience compared to traditional cybersecurity approaches. This study highlights the importance of proactive and adaptive cybersecurity strategies in ensuring the safety and reliability of smart transport systems. The proposed model not only protects against current threats but also evolves to address emerging risks in an ever-changing cybersecurity landscape. By integrating advanced technologies, this framework offers a comprehensive solution for enhancing the security posture of STS and fostering public trust in smart mobility solutions.
Authors and Affiliations
Sikirat Damilola Mustapha , Abidemi Adeleye Alabi,
Keywords
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- EP ID EP754865
- DOI 10.47191/etj/v10i01.11
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