DL-ADS: Improved Grey Wolf Optimization Enabled AE-LSTM Technique for Efficient Network Anomaly Detection in Internet of Thing Edge Computing

DL-ADS: Improved Grey Wolf Optimization Enabled AE-LSTM Technique for Efficient Network Anomaly Detection in Internet of Thing Edge Computing

The Internet of Things (IoT) technology has begun to proliferate in recent years, which simultaneously increases the number of attacks. Owing to the massive volume and multi-dimensional data in IoT, anomaly detection leads to low prediction accuracy and a high false alarm rate. Further, there is a d...

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Bibliographic Details
Main Authors: J. Manokaran, G. Vairavel
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Anomaly detection
autoencoder
improved grey wolf optimization
Internet of Things security
LSTM networks
MQTT
Online Access:https://ieeexplore.ieee.org/document/10539106/

Internet

https://ieeexplore.ieee.org/document/10539106/

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