University of Twente
Personen

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dr.ing. M. Elhajj (Mohammed)

Docent

Expertises

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

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Publicaties

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

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Bezoekadres

Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (gebouwnr. 11), kamer 2031
Hallenweg 19
7522NH  Enschede

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Postadres

Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  2031
Postbus 217
7500 AE Enschede

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info@utwente.nl
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