A ZigBee Intrusion Detection System for IoT using Secure and Efficient Data Collection

The market for Internet of Things (IoT) products and services has grown rapidly. It has been predicted that the deployment of these IoT applications will grow exponentially in the near future. However, the rapid growth of the IoT brings new security risks and potentially opens systems and networks t...

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Veröffentlicht in:	Internet of things (Amsterdam. Online) Jg. 12; S. 100306
Hauptverfasser:	Sadikin, Fal, Deursen, Ton van, Kumar, Sandeep
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2020
Schlagworte:	Machine Learning Anomaly Detection Rule-based Detection Method Secure and Efficient Data Collection ZigBee IoT Intrusion Detection System Secure and Efficient Data Collection Machine Learning Anomaly Detection Rule-based Detection Method ZigBee IoT Intrusion Detection System
ISSN:	2542-6605, 2542-6605
Online-Zugang:	Volltext
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