Towards a conceptual framework for AI-driven anomaly detection in smart city IoT networks for enhanced cybersecurity
As smart cities advance, Internet of Things (IoT) devices present cybersecurity challenges that call for innovative solutions. This paper presents a conceptual model for using AI-enabled anomaly detection systems to identify anomalies and security threats in smart city IoT networks. The foundation i...
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| Format: | article |
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2024
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| Online Access: | http://hdl.handle.net/10725/17659 https://doi.org/10.1016/j.jik.2024.100601 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://www.sciencedirect.com/science/article/pii/S2444569X24001409 |
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