Hybrid Deep Learning-based Intrusion Detection System for Industrial Internet of Things
Author:
Affiliation:
1. Ferhat Abbas University of Setif-1,Faculty of Sciences,Setif,Algeria
2. LRSD Laboratory, Ferhat Abbas University of Setif-1,Setif,Algeria
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9993426/9992298/09993487.pdf?arnumber=9993487
Reference16 articles.
1. Multiclass Classification Procedure for Detecting Attacks on MQTT-IoT Protocol
2. Leveraging LSTM Networks for Attack Detection in Fog-to-Things Communications
3. OCIDS: An Online CNN-Based Network Intrusion Detection System for DDoS Attacks with IoT Botnets
4. Robust detection for network intrusion of industrial IoT based on multi-CNN fusion
5. Edge-IIoTset: A New Comprehensive Realistic Cyber Security Dataset of IoT and IIoT Applications for Centralized and Federated Learning
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