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dr.ing. M. Elhajj (Mohammed)

Lecturer

About Me

Mohammed El-hajj received my B.S. from the school of computer science in IUL University Lebanon, in 2004, the M.S. from Kingston University, London, in 2008, and the Ph.D. degree in Network Security from University Saint-Joseph, Lebanon, in 2020.

I worked as an assistant professor at the University of Sciences and Arts in Lebanon in the Department of Computer Science department.

My research interests span both IoT security and Network Security. They focuses on improving the
understanding, design, and performance of authentication protocols for IoT ecosystems, as well as designing a hardware security platform based on Physical Un-clonable Functions (PUF), prone to Machine learning attacks to provide authentication to IoT devices.

Experienced Assistant Professor with a demonstrated history of working in the higher education industry. Skilled in Software Development, Internet of Things, Network Security, Teaching, and Programming. Strong education professional graduated from the Saint Joseph University of Beirut.


 

Expertise

Engineering & Materials Science
Authentication
Denial-Of-Service Attack
Hardware Security
Internet Of Things
Machine Learning
Taxonomies
Business & Economics
Authentication
Internet Of Things

Research

My research interests span both IoT security and Network Security. Much of his work has been on improving the understanding, design, and performance of authentication protocols for IoT ecosystems, mainly by benefiting from different types of Distributed Ledger Technologies (Ethereum Blockchain, IOTA, etc.). Besides understanding and designing a hardware security

platform based on Physical Unclonable Functions(PUF) that is prone to Machine learning attacks to provide authentication to IoT devices.


Publications

Recent
El-Hajj, M., Fadlallah, A., Chamoun, M., & Serhrouchni, A. (2021). A taxonomy of PUF Schemes with a novel Arbiter-based PUF resisting machine learning attacks. Computer networks, 194, [108133]. https://doi.org/10.1016/j.comnet.2021.108133
Elhajj, M., Fadlallah, A., Chamoun, M., & Serhrouchni, A. (2019). Secure PUF: Physically unclonable function based on arbiter with enhanced resistance against machine learning (ML) attacks. 216-220. Paper presented at 5th International Conference on Sensors and Electronic Instrumentation, SEIA 2019, Tenerife, Spain.
El-Hajj, M., Fadlallah, A., Chamoun, M., & Serhrouchni, A. (2019). Ethereum for Secure Authentication of IoT using Pre-Shared Keys (PSKs). In 2019 International Conference on Wireless Networks and Mobile Communications (WINCOM) (pp. 1-7). [8942487] IEEE. https://doi.org/10.1109/WINCOM47513.2019.8942487
El-Hajj, M., Fadlallah, A., Chamoun, M., & Serhrouchni, A. (2019). A Survey of Internet of Things (IoT) Authentication Schemes. Sensors (Switzerland), 19(5), [1141]. https://doi.org/10.3390/s19051141
Other Contributions

Recent:

El-Hajj, M., Fadlallah, A., Chamoun, M. and Serhrouchni, A., 2021. A taxonomy of PUF Schemes with a novel Arbiter-based PUF resisting machine learning attacks. Computer Networks, p.108133.

Google Scholar Link

Education

Received a B.S. from IUL at Lebanon in 2004 with GPA of 3.2, and an M.S. from Kingston University at London in 2008 with rank Good. I received my Ph.D. in Network Security from USJ University at Lebanon in 2020 with the highest rank.

Affiliated Study Programmes

Bachelor

Master

Other

Courses Academic Year  2022/2023

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
 

Courses Academic Year  2021/2022

Media

I did more than 24 interviews talking about privacy, security, and IoT.

Have a look at my Link-in Account

https://www.linkedin.com/in/mohammed-elhajj-0b88b0156/

Contact Details

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 2031
Hallenweg 19
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  2031
P.O. Box 217
7500 AE Enschede
The Netherlands

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