Smart Cities Secured: Utilizing AI Firewalls for Sustainable Urban Environments

Abstract The rapid transformation of urban landscapes into intelligent cities, propelled by the Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML), presents substantial opportunities for enhancing urban sustainability, efficiency, and quality of life. However, the interconnected nature of smart urban infrastructures renders them susceptible to significant cybersecurity risks, potentially jeopardizing essential services, and citizen privacy. This study examines the implementation of AI firewalls as a robust solution to strengthen the cybersecurity capabilities of smart cities. Utilizing advanced ML techniques for threat detection, anomaly analysis, and automated responses, AI firewalls can safeguard critical urban infrastructure. A comprehensive review of current literature and emerging AI technologies demonstrates that AI firewalls effectively mitigate cyber threats, protect sensitive data, and ensure the continuity of vital services, thereby fostering public trust and promoting sustainability. The proposed methodology outlines a systematic approach for designing, developing, and implementing AI firewalls, emphasizing scalability, adaptability, and energy efficiency in smart city environments. It also addresses challenges such as cost, privacy concerns, and interoperability through solutions including federated learning, edge computing, and explainable AI (XAI). This research highlights the crucial role of AI firewalls in creating secure, resilient, and sustainable smart cities, facilitating proactive urban governance. Future investigations will focus on enhancing real-time threat response, improving cross-platform integration, and refining privacy-preserving techniques, ensuring AI firewalls remain integral to the evolving landscape of secure urban systems. This study underscores the importance of AI firewalls as a key component of smart city cybersecurity, aligning technological advancements with urban resilience and sustainability objectives.

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Publication Details

Journal
International Journal on Smart Sensing and Intelligent Systems
Published
2025-01-01
DOI
https://doi.org/10.2478/ijssis-2025-0030
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart Cities Secured: Utilizing AI Firewalls for Sustainable Urban Environments

V. Asha, S. Kanaga Suba Raja
International Journal on Smart Sensing and Intelligent Systems
Network Security and Intrusion Detection
article

Smart Cities Secured: Utilizing AI Firewalls for Sustainable Urban Environments

V. Asha, S. Kanaga Suba Raja
article en

Abstract

Abstract The rapid transformation of urban landscapes into intelligent cities, propelled by the Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML), presents substantial opportunities for enhancing urban sustainability, efficiency, and quality of life. However, the interconnected nature of smart urban infrastructures renders them susceptible to significant cybersecurity risks, potentially jeopardizing essential services, and citizen privacy. This study examines the implementation of AI firewalls as a robust solution to strengthen the cybersecurity capabilities of smart cities. Utilizing advanced ML techniques for threat detection, anomaly analysis, and automated responses, AI firewalls can safeguard critical urban infrastructure. A comprehensive review of current literature and emerging AI technologies demonstrates that AI firewalls effectively mitigate cyber threats, protect sensitive data, and ensure the continuity of vital services, thereby fostering public trust and promoting sustainability. The proposed methodology outlines a systematic approach for designing, developing, and implementing AI firewalls, emphasizing scalability, adaptability, and energy efficiency in smart city environments. It also addresses challenges such as cost, privacy concerns, and interoperability through solutions including federated learning, edge computing, and explainable AI (XAI). This research highlights the crucial role of AI firewalls in creating secure, resilient, and sustainable smart cities, facilitating proactive urban governance. Future investigations will focus on enhancing real-time threat response, improving cross-platform integration, and refining privacy-preserving techniques, ensuring AI firewalls remain integral to the evolving landscape of secure urban systems. This study underscores the importance of AI firewalls as a key component of smart city cybersecurity, aligning technological advancements with urban resilience and sustainability objectives.

International Journal on Smart Sensing and Intelligent SystemsVol. 18(1)
National Institute of Technology Tiruchirappalli (IN), Indian Institute of Management Tiruchirappalli (IN)
Openalex Percentile: Top 72%
Network Security and Intrusion Detection
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