Edge-IIoTset: A new comprehensive realistic cyber security dataset of IoT and IIoT applications for centralized and federated learning MA Ferrag, O Friha, D Hamouda, L Maglaras, H Janicke IEEE Access 10, 40281-40306, 2022 | 429 | 2022 |
Deep learning-based intrusion detection for distributed denial of service attack in agriculture 4.0 MA Ferrag, L Shu, H Djallel, KKR Choo Electronics 10 (11), 1257, 2021 | 197 | 2021 |
PPSS: A privacy-preserving secure framework using blockchain-enabled federated deep learning for Industrial IoTs D Hamouda, MA Ferrag, N Benhamida, H Seridi Pervasive and Mobile Computing, 2022 | 33 | 2022 |
Edge learning for 6G-enabled Internet of Things: A comprehensive survey of vulnerabilities, datasets, and defenses MA Ferrag, O Friha, B Kantarci, N Tihanyi, L Cordeiro, M Debbah, ... IEEE Communications Surveys & Tutorials, 2023 | 29 | 2023 |
Intrusion detection systems for industrial internet of things: A survey D Hamouda, MA Ferrag, N Benhamida, H Seridi 2021 International Conference on Theoretical and Applicative Aspects of …, 2021 | 16 | 2021 |
Generative adversarial networks-driven cyber threat intelligence detection framework for securing internet of things MA Ferrag, D Hamouda, M Debbah, L Maglaras, A Lakas 2023 19th International Conference on Distributed Computing in Smart Systems …, 2023 | 8 | 2023 |
Un système de détection d’intrusion pour la cybersécurité D Hamouda http://dx.doi.org/10.13140/RG.2.2.25911.60327, 2020 | 7 | 2020 |
Revolutionizing intrusion detection in industrial IoT with distributed learning and deep generative techniques D Hamouda, MA Ferrag, N Benhamida, H Seridi, MC Ghanem Internet of Things 26, 101149, 2024 | 6 | 2024 |
Android Malware Detection Based on Network Analysis and Federated Learning D Hamouda, MA Ferrag, N Benhamida, ZE Kouahla, H Seridi Cyber Malware: Offensive and Defensive Systems, 23-39, 2023 | 2 | 2023 |
New Technologies for Security and Privacy Issues in the Era of Industry 5.0 D Hamouda University of 08 Mai 1945, Guelma, Algeria, 2024 | | 2024 |