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AI and the Future of Cybersecurity in Smart Cities: A Framework for Secure and Resilient Urban Environments
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
How to cite this paper
@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},
}