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  • Home
  • ABOUT
  • ACADEMICS

    Choose a faculty

    • Faculty of Arts & Sciences
    • Faculty of Education
    • Faculty of Management, Finance, and Economics
    • English Language Department
    • Continuing education programs
    • Academic Calendar
    • Faculty members
    • Academic Regulations
    • Academic Advising
  • ADMISSIONS
    • Frequently Asked Questions (FAQ)
    • Academic terms
    • Student Guidance and Counselling
    • Tuition fees
    • Scholarships and Financial Aid
    • The Transition from Vocational Education to Higher Education
    • Placement test
    • Required documents
    • Registrar’s Office
    • Office of Student Affairs
  • STUDENT’S LIFE
    • Student Clubs
    • Gallery
    • Facilities
    • Honor lists
  • NEWS & MEDIA
    • EVENTS
  • Administration
    • Administrative office
    • Human resources
    • Accounting office
    • The Liaison Office
    • Digital Media and Advertising Office
    • IT office
  • Contact
Mohammad-alhajj

Mohammed El-hajj

Teaching: Mobile Application, Web Applications, Advanced Database, Software Engineering
Research Topics: Wireless Sensor Networks, IoT, Security, Authentication.
Selected publications:
A Survey of Internet of Things (IoT) Authentication Schemes
Secure PUF: Physically Unclonable Function based on Arbiter with Enhanced Resistance against Machine Learning (ML) Attacks.
Ethereum for Secure Authentication of IoT using Pre-Shared Keys (PSKs)
Mohammed El-hajj received his 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
. He is currently assistant professor at the University of Sciences and Arts in Lebanon in the Department of Computer
Science department. His 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.

m.elhajj@usal.edu.lb

+9611453003 ext. 405

Other Members

Ahmad Fadlallah

Ahmad Fadlallah

Yasser fadlallah

Yasser Fadlallah

Ali Komaty

Ali Komaty

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