Design of Anomaly-Based Intrusion Detection System Using Fog Computing for IoT Network

With increase in the demand for Internet of Things (IoT)-based services, the capability to detect anomalies such as malicious control, spying and other threats within IoT-based network has become a major issue. Traditional Intrusion Detection Systems (IDSs) cannot be used in typical IoT-based networ...

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Veröffentlicht in:	Automatic control and computer sciences Jg. 55; H. 2; S. 137 - 147
Hauptverfasser:	Prabhat Kumar, Gupta, Govind P., Tripathi, Rakesh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Moscow Pleiades Publishing 01.03.2021 Springer Nature B.V
Schlagworte:	Accuracy Algorithms Anomalies Cloud computing Computer Science Control Structures and Microprogramming Decision trees Espionage False alarms Internet of Things Intrusion detection systems Machine learning Model testing fog computing intrusion detection system anomaly detection Internet of Things feature selection
ISSN:	0146-4116, 1558-108X
Online-Zugang:	Volltext
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