Mohamed Amine FERRAG's picture
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First Name: 
Mohamed Amine
Last Name: 
FERRAG
Affiliation: 
Guelma University, Algeria
Job Title: 
Associate Professor
Expertise: 
Security, Privacy, IoT, Blockchain
Short Bio: 
Dr. Mohamed Amine Ferrag received the Bachelor’s, Master’s, Ph.D., and Habilitation degrees in computer science from Badji Mokhtar—Annaba University, Annaba, Algeria, in June, 2008, June, 2010, June, 2014, and April, 2019, respectively. Since October 2014, he has been a Senior Lecturer with the Department of Computer Science, Guelma University, Guelma, Algeria. Since July 2019, he has been a Visiting Senior Researcher with the NAU-Lincoln Joint Research Center of Intelligent Engineering, Nanjing Agricultural University, Nanjing, China. His research interests include wireless network security, network coding security, and applied cryptography. He has published over 90 papers in international journals and conferences in the above areas. He has been conducting several research projects with international collaborations on these topics. He was a recipient of the 2021 IEEE TEM BEST PAPER AWARD WINNER. His current H-index is 24, i10-index is 40, and 3100 citations in Google Scholar Citation. Dr. Ferrag is featured in Stanford University’s list of the world’s Top 2% scientists for the years 2019 and 2020. Some of his research findings are published in top-cited journals, such as the IEEE Communications Surveys & Tutorials, IEEE Internet of Things Journal, IEEE Transactions on Engineering Management, IEEE ACCESS, IEEE/CAA Journal of Automatica Sinica, MDPI Sensors, Journal of Information Security and Applications (Elsevier), Transactions on Emerging Telecommunications Technologies (Wiley), Telecommunication Systems (Springer), International Journal of Communication Systems (Wiley), Sustainable Cities and Society (Elsevier), and Journal of Network and Computer Applications (Elsevier). He is currently serving on various editorial positions, such as Editorial Board Member in Journals (Indexed SCI and Scopus), such as, ICT Express (JCR IF 4.317), IET Networks (Citescore 4.1), International Journal of Internet Technology and Secured Transactions (Citescore 1.0), Security and Communication Networks (JCR IF 1.791), and Journal of Sensor and Actuator Networks (Citescore 6.2). He reviewed more than 1000 papers for top-cited journals, including, Nature, IEEE transactions, Elsevier, Springer, Wiley journals,...etc.

Datasets & Competitions

In this project, we propose a new comprehensive realistic cyber security dataset of IoT and IIoT applications, called Edge-IIoTset, which can be used by machine learning-based intrusion detection systems in two different modes, namely, centralized and federated learning. Specifically, the proposed testbed is organized into seven layers, including, Cloud Computing Layer, Network Functions Virtualization Layer, Blockchain Network Layer, Fog Computing Layer, Software-Defined Networking Layer, Edge Computing Layer, and IoT and IIoT Perception Layer.

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