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Integrating IoT and machine learning for scalable anomaly detection in smart city infrastructure

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  • Jing Xu

Abstract

People all over the world can connect a lot of smart things to the internet of things (IoT). These tools can talk to other tools in the same family without any help from people. The internet of things (IoT) lets us get and look at a lot of data. Many good things could come from this. A lot of data is made when more things join the IoT. You might find strange things after reading this. It has a lot of different kinds of things. Standard ways to keep an eye on hacking threats need to handle and process different kinds of data in different ways. This might not work well for files that have a lot of different parts. But data from more than one kind of network gadget can hold more kinds of data. It will help you find strange things more quickly.

Suggested Citation

  • Jing Xu, 2026. "Integrating IoT and machine learning for scalable anomaly detection in smart city infrastructure," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 22(10), pages 1-16.
    • Handle: RePEc:ids:ijcist:v:22:y:2026:i:10:p:1-16
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