A Review of IoT Security Issues in Smart City Systems
DOI:
https://doi.org/10.61453/joit.v2025no24Keywords:
IoT Security, Cybersecurity, Data Privacy, Smart Transportation, V2X CommunicationAbstract
The rapid development of smart cities relies heavily on interconnected IoT devices, intelligent communication infrastructures, and emerging technologies such as artificial intelligence and blockchain. While these advancements enhance urban efficiency, they also introduce significant security challenges that threaten data integrity, privacy, and system resilience. This review critically examines the key IoT security issues encountered in smart city ecosystems, including vulnerabilities in device authentication, insecure communication protocols, data leakage, and weak access control mechanisms. The objective of this review is to consolidate existing research on IoT-related security threats within smart city environments and evaluate how modern technologies are being used to mitigate these issues. The paper identifies key research gaps such as the lack of unified security frameworks, inadequate real-time threat detection, and limited scalability of existing solutions. Future directions are proposed, emphasizing the integration of AI-driven threat analytics, blockchain-based trust models, and standardized security architectures to strengthen the security posture of next-generation smart cities.
References
Ahmed, K., Dubey, M. K., Kumar, A., & Dubey, S. (2024). Artificial intelligence and IoT driven system architecture for municipality waste management in smart cities: A review. Measurement: Sensors, 36, Article 101395. https://doi.org/10.1016/j.measen.2024.101395
Alhasnawi, B. N., Hashim, H. K., Zanker, M., & Bureš, V. (2025). The rising, applications, challenges, and future prospects of energy in smart grids and smart cities systems. Energy Conversion and Management: X, 27, 101162. https://doi.org/10.1016/j.ecmx.2025.101162
Chandran, P. J. I., Khalil, H. A., & Hashir, P. K. (2025). Smart technologies in aquaculture: An integrated IoT, AI, and blockchain framework for sustainable growth. Aquacultural Engineering, 111, 102584. https://doi.org/10.1016/j.aquaeng.2025.102584
Choudhary, V., Guha, P., Pau, G., & Mishra, S. (2025). An overview of smart agriculture using Internet of Things (IoT) and web services. Environmental and Sustainability Indicators, 26, 100607. https://doi.org/10.1016/j.indic.2025.100607
Ditta, A., Ahmed, M. M., Mazhar, T., Shahzad, T., Alahmed, Y., & Hamam, H. (2025). Number plate recognition smart parking management system using IoT. Measurement: Sensors, 37, 101409. https://doi.org/10.1016/j.measen.2024.101409
Ismagilova, E., Hughes, L., Rana, N. P., & Dwivedi, Y. K. (2022). Security, privacy and risks within smart cities: Literature review and development of a smart city interaction framework. Information Systems Frontiers, 24(2), 393–414. https://doi.org/10.1007/s10796-020-10044-1
Khemakhem, S., & Krichen, L. (2024). A comprehensive survey on an IoT-based smart public street lighting system application for smart cities. Franklin Open, 8, 100142. https://doi.org/10.1016/j.fraope.2024.100142
Khoso, A. G., Zahid, N., & Khan, I. (2025). Enhanced IoT-Enabled Smart Parking system with RFID Integration and Line Assistance. Transportation Research Procedia, 84, 346–353. https://doi.org/10.1016/j.trpro.2025.03.082
Rakshitha, M. V., & Chitra, K. (2024). Smart Home Security Using Facial Authentication. Journal of Innovation and Technology, 2024 https://doi.org/10.61453/joit.v2024no42
Zeng, H., Yunis, M., Khalil, A., & Mirza, N. (2024). Towards a conceptual framework for AI-driven anomaly detection in smart city IoT networks for enhanced cybersecurity. Journal of Innovation & Knowledge, 9(4), 100601. https://doi.org/10.1016/j.jik.2024.100601
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