An intelligent IoT intrusion detection system using HeInit-WGAN and SSO-BNMCNN based multivariate feature analysis
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering
Reference30 articles.
1. Semi-supervised spatiotemporal deep learning for intrusions detection in IoT networks;Abdel-Basset;IEEE Internet Things J.,2021
2. 5G ultra-reliable low-latency communication implementation challenges and operational issues with IoT devices;Ahmed Siddiqi;Electronics,2019
3. Real time dataset generation framework for intrusion detection systems in IoT;Al-Hadhrami;Future Generat. Comput. Syst.,2020
4. Enhancing cyber security in modern internet of things (iot) using intrusion prevention algorithm for iot (ipai);Aldaej;IEEE Access,2019
5. Deep recurrent neural network for IoT intrusion detection system;Almiani;Simulat. Model. Pract. Theor.,2020
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4. Employing Deep Neural Networks for Real-Time Anomaly Detection and Mitigation in IoT-Based Smart Grid Cybersecurity Systems;2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2024-04-26
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