Towards an Effective Intrusion Detection Model Using Focal Loss Variational Autoencoder for Internet of Things (IoT)

Towards an Effective Intrusion Detection Model Using Focal Loss Variational Autoencoder for Internet of Things (IoT)

As the range of security attacks increases across diverse network applications, intrusion detection systems are of central interest. Such detection systems are more crucial for the Internet of Things (IoT) due to the voluminous and sensitive data it produces. However, the real-world network produces...

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Bibliographic Details
Main Authors: Shapla Khanam, Ismail Ahmedy, Mohd Yamani Idna Idris, Mohamed Hisham Jaward
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Sensors
Subjects:
Internet of Things
Variational AutoEncoder
Class-wise Focal Loss
data imbalance
intrusion detection
Deep Neural Network
Online Access:https://www.mdpi.com/1424-8220/22/15/5822

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https://www.mdpi.com/1424-8220/22/15/5822

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