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The Internet of Things (IoT) is transforming urban ecosystems by facilitating the development of smart cities, advanced transportation systems, and improved infrastructure management. Nevertheless, IoT systems encounter various security issues due to their decentralized architecture, restricted device functionalities, and the essential services they support. Artificial Intelligence (AI) has emerged as a viable approach to bolster IoT security in urban settings. This paper thoroughly examines AI-driven security methods for IoT networks, addresses the related challenges, and suggests future research avenues for creating secure, scalable, and dependable urban IoT frameworks.
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