Journal Papers
[J.9] M. A. Ferrag, O. Friha, B. Kantarcie, N. Tihanyi, L. Cordeiro, M. Debbah, D. Hamouda, M. Al-Hawawreh, K.-K.R. Choo, "Edge Learning for 6G-Enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses", IEEE Communications Surveys & Tutorials, Volume: 25, Issue: 4, September 2023, DOI: 10.1109/COMST.2023.3317242 ------ (SCIE, IF= 35.6)
[J.8] O. Friha; M. A. Ferrag, M. Benbouzid, T. Berghout, B.Kantarcie, K.-K.R. Choo, "2DF-IDS: Decentralized and Differentially Private Federated Learning-based Intrusion Detection System for Industrial IoT", Computers & Security, Volume 127, April 2023, DOI: 10.1016/j.cose.2023.103097 ------ (SCIE, IF= 5.105)
[J.7] O. Friha; M. A. Ferrag, L. Maglaras, L.Shu, "Digital Agriculture Security: Aspects, Threats, Mitigation Strategies, and Future Trends", IEEE Internet of Things Magazine, Volume: 5, Issue: 3, September 2022, DOI: 10.1109/IOTM.001.2100164
[J.6] M. A. Ferrag, O. Friha, D. Hamouda, L. Maglaras, H. Janicke, "Edge-IIoTset: A New Comprehensive Realistic Cyber Security Dataset of IoT and IIoT Applications for Centralized and Federated Learning", IEEE Access, Volume: 9, April 2022, DOI: 10.1109/ACCESS.2022.3165809 ------ (SCIE, IF= 3.367)
[J.5] O. Friha, M. A. Ferrag, L. Shu, L. Maglaras, K.-K.R. Choo, M. Nafaa, "FELIDS: Federated Learning-based Intrusion Detection System for Agricultural Internet of Things", Journal of Parallel and Distributed Computing, Volume: 165, July 2022, DOI: 10.1016/j.jpdc.2022.03.003 ------ (SCIE, IF= 3.734)
[J.4] M. A. Ferrag, L. Shu, O. Friha, X. Yang, "Cyber Security Intrusion Detection for Agriculture 4.0: Machine Learning-based Solutions, Datasets, and Future Directions", IEEE/CAA Journal of Automatica Sinica, Volume: 9, Issue: 3, March 2022, DOI: 10.1109/JAS.2021.1004344 ------ (SCIE, IF= 6.171)
[J.3] M. A. Ferrag, O. Friha, L. Maglaras, H. Janicke, L. Shu, "Federated Deep Learning for Cyber Security in the Internet of Things: Concepts, Applications, and Experimental Analysis", IEEE Access, Volume 9, October 2021, DOI: 10.1109/ACCESS.2021.3118642 ------ (SCIE, IF= 3.367)
[J.2] S. E. Merzougui, M. A. Ferrag, O. Friha, L. Maglaras, "EASBF: An Efficient Authentication Scheme over Blockchain for Fog Computing-enabled Internet of Vehicles", Elsevier Journal of Information Security and Applications, Volume 59, June 2021, DOI: 10.1016/j.jisa.2021.102802 ------ (SCIE, IF= 2.327)
[J.1] O. Friha, M. A. Ferrag, L. Shu, L. Maglaras, X. Wang, "Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies", IEEE/CAA Journal of Automatica Sinica, Volume: 8, Issue: 4, April 2021. DOI: 10.1109/JAS.2021.1003925 ------ (SCIE, IF= 6.171)
Conference Papers
[C.1] O. Friha, M. A. Ferrag, L. Shu, M. Nafaa, "A Robust Security Framework based on Blockchain and SDN for Fog Computing enabled Agricultural Internet of Things", IEEE International Conference on Internet of Things and Intelligent Applications, 27-29 November, 2020, Zhenjiang, China. ------ (Best Paper Award)
Book Chapters
[B.1] O. Friha, M. A. Ferrag, "Blockchain technology for 6G communication networks: A vision for the future", Chapter in Cybersecurity Issues in Emerging Technologies, CRC Press, 2021
Datasets
[D.1] M. A. Ferrag, O. Friha, D. Hamouda, L. Maglaras, H. Janicke, "Edge-IIoTset: A New Comprehensive Realistic Cyber Security Dataset of IoT and IIoT Applications: Centralized and Federated Learning", January 2022, IEEE Dataport, DOI: 10.21227/mbc1-1h68