SIM-FED: Secure IoT malware detection model with federated learning
Author:
Publisher
Elsevier BV
Reference57 articles.
1. Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks;Abdeljaber;J Sound Vib,2017
2. Security in Internet of Things: issues, challenges, taxonomy, and architecture;Adat;Telecommun Syst,2018
3. A malware analysis and detection system for mobile devices/Ali feizollah;Ali,2017
4. Botnet Attack Detection by Using CNN-LSTM Model for Internet of Things Applications;Alkahtani;Security and Communication Networks,2021
5. A novel deep learning-based intrusion detection system for IOT networks;Awajan;Computers,2023
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