Deep Autoencoder-Based Integrated Model for Anomaly Detection and Efficient Feature Extraction in IoT Networks

Deep Autoencoder-Based Integrated Model for Anomaly Detection and Efficient Feature Extraction in IoT Networks

The intrusion detection system (IDS) is a promising technology for ensuring security against cyber-attacks in internet-of-things networks. In conventional IDS, anomaly detection and feature extraction are performed by two different models. In this paper, we propose a new integrated model based on de...

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Bibliographic Details
Main Authors: Khaled A. Alaghbari, Heng-Siong Lim, Mohamad Hanif Md Saad, Yik Seng Yong
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:IoT
Subjects:
autoencoder
anomaly detection
feature extraction
cyber security
IoT
machine learning
Online Access:https://www.mdpi.com/2624-831X/4/3/16

Internet

https://www.mdpi.com/2624-831X/4/3/16

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