Anomaly Detection of IoT Cyberattacks in Smart Cities Using Federated Learning and Split Learning

Anomaly Detection of IoT Cyberattacks in Smart Cities Using Federated Learning and Split Learning

The swift proliferation of the Internet of Things (IoT) devices in smart city infrastructures has created an urgent demand for robust cybersecurity measures. These devices are susceptible to various cyberattacks that can jeopardize the security and functionality of urban systems. This research prese...

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Bibliographic Details
Main Author:	Ishaani Priyadarshini
Format:	Article
Language:	English
Published:	MDPI AG 2024-02-01
Series:	Big Data and Cognitive Computing
Subjects:	IoT cyberattacks smart city split learning federated learning
Online Access:	https://www.mdpi.com/2504-2289/8/3/21

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