IoT Intrusion Detection Taxonomy, Reference Architecture, and Analyses

IoT Intrusion Detection Taxonomy, Reference Architecture, and Analyses

This paper surveys the deep learning (DL) approaches for intrusion-detection systems (IDSs) in Internet of Things (IoT) and the associated datasets toward identifying gaps, weaknesses, and a neutral reference architecture. A comparative study of IDSs is provided, with a review of anomaly-based IDSs...

Full description

Bibliographic Details
Main Authors: Khalid Albulayhi, Abdallah A. Smadi, Frederick T. Sheldon, Robert K. Abercrombie
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Sensors
Subjects:
anomaly-based IDS
IoT architecture mapping
deep learning
machine learning (ML)
intrusion-detection systems (IDS)
IoT security
Online Access:https://www.mdpi.com/1424-8220/21/19/6432

Internet

https://www.mdpi.com/1424-8220/21/19/6432

Similar Items