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AI and the Future of Cybersecurity in Smart Cities: A Framework for Secure and Resilient Urban Environments

Isabirye Edward Kezron

Subject area: Science,Engineering and Technology  ·  Area of research: Cybersecurity

Abstract

Smart cities have rapidly evolved by combining Internet of Things devices with self-driving tech and big data systems to improve urban life and run more smoothly. Our interlinked smart city system faces rising cyber dangers that need modern and expandable security solutions. Artificial Intelligence (AI) helps us better find and respond to cybersecurity dangers through its advanced ability to analyze future threats and automatically block vulnerabilities. Our study creates an AI-based cybersecurity framework for smart cities that protects by monitoring threats before they occur and using separate systems to recover from damage. Our framework solves smart city security problems and tackles AI growth limits and data protection issues. It studies new AI and blockchain systems to make urban environments safer online. Using real-world defense examples plus theory advancements this research joins other studies about smart city security in digital environments (Chen et al., 2023; Smith & Kumar, 2022).

Keywords

AI-driven Cybersecurity, Smart City Security Framework, IoT Vulnerabilities, Blockchain for Data Integrity, Federated Learning helps protect data privacy, Urban Cyber Resilience

References

[1] Ali, A., Zhang, X., & Lee, W. (2022). Blockchain-based data integrity solutions for smart city security. Journal of Urban Security, 45(3), 102-118. https://doi.org/10.1007/jus2022.00456

[2] Chen, S., Wang, Y., & Li, J. (2023). AI-powered cybersecurity in smart cities: A framework for anomaly detection and threat mitigation. Journal of Artificial Intelligence and Cybersecurity, 9(1), 34-56. https://doi.org/10.1016/j.aic.2023.01.002

[3] Gonzalez, F., Richards, T., & Lee, S. (2023). Ethical challenges in the deployment of AI for smart city security. Journal of Ethics in Technology, 11(2), 80-95. https://doi.org/10.1016/j.jetech.2023.03.005

[4] Lee, C., Park, H., & Cho, M. (2021). Machine learning for predictive maintenance and cybersecurity in smart cities. IEEE Transactions on Cybersecurity, 7(4), 212-225. https://doi.org/10.1109/tcyb.2021.3067584

[5] Nguyen, D., & Tran, M. (2021). Federated learning for secure and private smart city data management. International Journal of Distributed Systems and Technologies, 16(5), 123-138. https://doi.org/10.1145/3424242

[6] Smith, J., & Kumar, R. (2022). Global standards and regulatory frameworks for cybersecurity in smart cities. Urban Policy Review, 19(3), 67-81. https://doi.org/10.1080/10754524.2022.1954237

[7] Taylor, M., & Brown, P. (2021). Cyberattack on water treatment plants: Implications for smart city security. Journal of Urban Infrastructure Security, 5(1), 50-63. https://doi.org/10.1016/j.juis.2021.05.001

[8] Yang, Z., Li, X., & Liu, W. (2020). Privacy-preserving federated learning for smart city applications. Journal of Privacy and Security, 12(4), 89-104. https://doi.org/10.1007/jps2020.00256

[9] Zhao, Y., & Martin, T. (2020). AI and machine learning in urban cybersecurity: Current challenges and future opportunities. Smart Cities Review, 14(2), 145-160. https://doi.org/10.1016/j.scr.2020.02.004

How to cite this paper

Isabirye Edward Kezron "AI and the Future of Cybersecurity in Smart Cities: A Framework for Secure and Resilient Urban Environments" Iconic Research And Engineering Journals Volume 8 Issue 7 2025 Page 612-617
Isabirye Edward Kezron "AI and the Future of Cybersecurity in Smart Cities: A Framework for Secure and Resilient Urban Environments" Iconic Research And Engineering Journals, vol. 8, no. 7, Jan. 2025
Isabirye Edward Kezron (2025). AI and the Future of Cybersecurity in Smart Cities: A Framework for Secure and Resilient Urban Environments. Iconic Research And Engineering Journals, 8(7).
Isabirye Edward Kezron "AI and the Future of Cybersecurity in Smart Cities: A Framework for Secure and Resilient Urban Environments" Iconic Research And Engineering Journals, vol. 8, no. 7, Jan. 2025.
@article{1707029,
      author = {Isabirye Edward Kezron},
      title = {AI and the Future of Cybersecurity in Smart Cities: A Framework for Secure and Resilient Urban Environments},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {8},
      number = {7},
      pages = {612-617},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1707029.pdf},
      abstract = {Smart cities have rapidly evolved by combining Internet of Things devices with self-driving tech and big data systems to improve urban life and run more smoothly. Our interlinked smart city system faces rising cyber dangers that need modern and expandable security solutions. Artificial Intelligence (AI) helps us better find and respond to cybersecurity dangers through its advanced ability to analyze future threats and automatically block vulnerabilities. Our study creates an AI-based cybersecurity framework for smart cities that protects by monitoring threats before they occur and using separate systems to recover from damage. Our framework solves smart city security problems and tackles AI growth limits and data protection issues. It studies new AI and blockchain systems to make urban environments safer online. Using real-world defense examples plus theory advancements this research joins other studies about smart city security in digital environments (Chen et al., 2023; Smith & Kumar, 2022).},
      keywords = {AI-driven Cybersecurity, Smart City Security Framework, IoT Vulnerabilities, Blockchain for Data Integrity, Federated Learning helps protect data privacy, Urban Cyber Resilience},
      month = {January},
  }