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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-10-01
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| Series: | Journal of Innovation & Knowledge |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2444569X24001409 |
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