Feature extraction for machine learning-based intrusion detection in IoT networks

Feature extraction for machine learning-based intrusion detection in IoT networks

A large number of network security breaches in IoT networks have demonstrated the unreliability of current Network Intrusion Detection Systems (NIDSs). Consequently, network interruptions and loss of sensitive data have occurred, which led to an active research area for improving NIDS technologies....

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Bibliographic Details
Main Authors: Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marcus Gallagher, Marius Portmann
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-02-01
Series:Digital Communications and Networks
Subjects:
Feature extraction
Machine learning
Network intrusion detection system
IoT
Online Access:http://www.sciencedirect.com/science/article/pii/S2352864822001754

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http://www.sciencedirect.com/science/article/pii/S2352864822001754

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