Securing Urban Landscape: Cybersecurity Mechanisms for Resilient Smart Cities

This article explores a novel approach to enhancing cybersecurity in smart cities by integrating Convolutional Neural Networks (CNNs) with Genetic Algorithms (GAs). The primary objective is to develop a robust cybersecurity framework capable of effectively detecting and responding to a wide range of...

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Veröffentlicht in:	IEEE access 2025, Vol.13, p.10966-10977
Hauptverfasser:	Lyu, Qiang, Liu, Sujuan, Shang, Zhouyuan
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive algorithms Artificial intelligence Artificial neural networks Cities Computer security Convolutional neural networks convolutional neural networks (CNNs) Cyberattack Cybersecurity Evolutionary algorithms Genetic algorithms genetic algorithms (GAs) Green buildings Infrastructure Internet of Things Landscaping Machine learning Optimization Resilience Response time Security Smart cities threat detection Urban environments
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