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...

Full description

Saved in:

Bibliographic Details
Published in:	Automatic control and computer sciences Vol. 55; no. 2; pp. 137 - 147
Main Authors:	Prabhat Kumar, Gupta, Govind P., Tripathi, Rakesh
Format:	Journal Article
Language:	English
Published:	Moscow Pleiades Publishing 01.03.2021 Springer Nature B.V
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!