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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Vydané v:	Automatic control and computer sciences Ročník 55; číslo 2; s. 137 - 147
Hlavní autori:	Prabhat Kumar, Gupta, Govind P., Tripathi, Rakesh
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Moscow Pleiades Publishing 01.03.2021 Springer Nature B.V
Predmet:	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
On-line prístup:	Získať plný text
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