Towards Adaptive Cybersecurity in Smart Cities: Threat Trends, Mitigation Strategies, and Future Scenarios

Authors

  • Egi Al Fansyah School of Industrial and System Engineering, Telkom University Author
  • Muharman Lubis School of Industrial and System Engineering, Telkom University Author
  • Muhammad Dwi Hary Sandy School of Industrial and System Engineering, Telkom University Author

DOI:

https://doi.org/10.64845/jistech.v2i1.148

Keywords:

Smart City , Cybersecurity, Threat Mitigation, Trend Analysis, Cyber Threat Intelligence

Abstract

Smart Cities, which represent modern technology-based urban environments, are currently faced with significant challenges concerning cybersecurity. Cyber threats targeting the digital infrastructure and sensitive data within Smart Cities continue to evolve alongside the increasing levels of connectivity and reliance on technology. Various types of attacks, such as Distributed Denial of Service (DDoS), Ransomware, and exploitation of Internet of Things (IoT) devices, have become threats that warrant serious attention. Therefore, the implementation of effective mitigation strategies is essential to safeguard the security of Smart Cities. This paper examines various potential cyber threats that could jeopardize Smart Cities and evaluates the effectiveness of mitigation strategies that have been implemented, such as the adoption of the Zero Trust model, multi-factor authentication, and real-time anomaly detection systems. Furthermore, this paper discusses recent research developments in threat mitigation technologies, including the utilization of artificial intelligence and blockchain. Findings from this analysis indicate that, in order to ensure the sustainability and security of Smart Cities, more stringent policies, cross-sector collaboration, and ongoing research in mitigation technology development are required.

Author Biography

  • Muharman Lubis, School of Industrial and System Engineering, Telkom University

    Head of Master of Information Systems Program, Telkom University

References

Achuthan, K., Sankaran, S., Roy, S., & Raman, R. (2025). Integrating sustainability into cybersecurity: insights from machine learning based topic modeling. Discover Sustainability, 6(1). https://doi.org/10.1007/s43621-024-00754-w

Alhalafi, N., & Veeraraghavan, P. (2023). Exploring the Challenges and Issues in Adopting Cybersecurity in Saudi Smart Cities: Conceptualization of the Cybersecurity-Based UTAUT Model. Smart Cities, 6(3), 1523–1544. https://doi.org/10.3390/smartcities6030072

Almeida, F. (2023). Prospects of Cybersecurity in Smart Cities. Future Internet, 15(9). https://doi.org/10.3390/fi15090285

Baig, Z., Syed, N., & Mohammad, N. (2022). Securing the Smart City Airspace: Drone Cyber Attack Detection through Machine Learning. Future Internet, 14(7). https://doi.org/10.3390/fi14070205

Bauer, J., Konrad, C., Hechtel, M., Wichert, R., Weigand, C., Dengler, S., Holzwarth, M., & Franke, J. (2021). ForeSight Approach to improve Privacy and Security in the Smart Living Domain. Current Directions in Biomedical Engineering, 7(2), 903 – 906. https://doi.org/10.1515/cdbme-2021-2230

Caivano, D., De Vincentiis, M., Pal, A., & Ragone, A. (2023). Securing Smart Cities: Unraveling Quantum as a Service. QP4SE 2023 - Proceedings of the 2nd International Workshop on Quantum Programming for Software Engineering, Co-Located with: ESEC/FSE 2023, 1–6. https://doi.org/10.1145/3617570.3617865

Degtereva, V., Gladkova, S., Makarova, O., & Melkostupov, E. (2020, November 18). Forming a Mechanism for Preventing the Violations in Cyberspace at the Time of Digitalization: Common cyber threats and ways to escape them. ACM International Conference Proceeding Series. https://doi.org/10.1145/3446434.3446468

Demertzi, V., Demertzis, S., & Demertzis, K. (2023). An Overview of Cyber Threats, Attacks and Countermeasures on the Primary Domains of Smart Cities. In Applied Sciences (Switzerland) (Vol. 13, Issue 2). MDPI. https://doi.org/10.3390/app13020790

Fang, J., Tang, Y., & Guo, M. (2025). Comprehensive Review of Cyber Threat Intelligence Sharing: Challenges and Methodologies. Proceedings of the 4th Asia-Pacific Artificial Intelligence and Big Data Forum, AIBDF 2024, 455–461. https://doi.org/10.1145/3718491.3718565

Hossain, S. T., Yigitcanlar, T., Nguyen, K., & Xu, Y. (2024). Local Government Cybersecurity Landscape: A Systematic Review and Conceptual Framework. In Applied Sciences (Switzerland) (Vol. 14, Issue 13). Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/app14135501

Houichi, M., Jaidi, F., & Bouhoula, A. (2024). A comprehensive and in-depth study of the threats faced by smart cities and the countermeasures implemented in their key areas. Journal of Infrastructure, Policy and Development, 8(10). https://doi.org/10.24294/jipd.v8i10.8629

Kuang, Z., Su, J., Latifian, A., Eshraghi, S., & Ghafari, A. (2024). Utilizing Artificial neural networks (ANN) to regulate Smart cities for sustainable Urban Development and Safeguarding Citizen rights. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-76964-z

Leroy, I., Zolotaryova, I., & Semenov, S. (2025). Impact of Critical Infrastructure Cyber Security on the Sustainable Development of Smart Cities: Insights from Internal Specialists and External Information Security Auditors. Sustainability (Switzerland), 17(3). https://doi.org/10.3390/su17031188

Maheshwari, R. U., Shankar, P. R., Chandrasekaran, G., & Mahendrakhan, K. (2024). Assessment of Cybersecurity Risks in Digital Twin Deployments in Smart Cities. International Journal of Computational and Experimental Science and Engineering, 10(4), 695–700. https://doi.org/10.22399/ijcesen.494

Padmashree, A., & Krishnamoorthi, M. (2022). Decision Tree with Pearson Correlation-based Recursive Feature Elimination Model for Attack Detection in IoT Environment. Information Technology and Control, 51(4), 771–785. https://doi.org/10.5755/j01.itc.51.4.31818

Park, J. H., Singh, S. K., Salim, M. M., Azzaoui, A. E. L., & Park, J. H. (2022). Ransomware-based Cyber Attacks: A Comprehensive Survey. Journal of Internet Technology, 23(7), 1557–1564. https://doi.org/10.53106/160792642022122307010

Priyadarshini, I. (2024). Anomaly Detection of IoT Cyberattacks in Smart Cities Using Federated Learning and Split Learning. Big Data and Cognitive Computing, 8(3). https://doi.org/10.3390/bdcc8030021

Tan, C. (2024). Response Strategies to Cyber Threats in Service Industries. ACM International Conference Proceeding Series, 203–207. https://doi.org/10.1145/3700906.3700939

Wepner, B., Neuberger, S., Hörlesberger, M., Molin, E. M., Lampert, J., & Koch, H. (2025). How can digitalisation support transformation towards sustainable agri-food systems? Scenario development in Lower Austria. Agricultural Systems, 224. https://doi.org/10.1016/j.agsy.2024.104251

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Published

2026-06-26

Issue

Vol. 2 No. 1 (2026): Journal of Information Systems and Technology

Section

Articles

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Copyright (c) 2026 Egi Al Fansyah, Muharman Lubis, Muhammad Dwi Hary Sandy (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Towards Adaptive Cybersecurity in Smart Cities: Threat Trends, Mitigation Strategies, and Future Scenarios. (2026). Journal of Information Systems and Technology, 2(1), 1-15. https://doi.org/10.64845/jistech.v2i1.148