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Noura Nassir AlOmar نوره بنت ناصر العمر

Lecturer

College of Computer and Information Sciences , Software Engineering Department.

علوم الحاسب والمعلومات
Building 6, 3rd floor, office# 61

نبذة تعريفية / مختصر السيرة الذاتية

Noura Alomar is currently a faculty member in the Software Engineering Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia. In 2014, Alomar was awarded the degree of Master of Science in Software Engineering from the School of Electronics and Computer Science at the University of Southampton, Southampton, UK. She received her BSc degree of Computer and Information Sciences in Information Technology from King Saud University in 2011. Her current research focuses on software project management, user authentication, gamification, crowdsourcing technologies, human computing behavior and cross-cultural user-experience design.

المنشورات
المزيد ...

publications
بواسطة Noura Alomar, Joel Reardon, Aniketh Girish, Narseo Vallina-Rodriguez, Serge Egelman
2025
تم النشر فى:
The 25th Privacy Enhancing Technologies Symposium
publications

The Time-based One-Time Password (TOTP) algorithm is a 2FA method that is widely deployed because of its relatively low implementation costs and purported security benefits over SMS 2FA.

بواسطة Conor Gilsenan, Fuzail Shakir, Noura Alomar, Serge Egelman
تم النشر فى:
USENIX Association
publications

The California Consumer Privacy Act (CCPA) provides California residents with a range of enhanced privacy protections and rights.

بواسطة Nikita Samarin, Shayna Kothari, Zaina Siyed, Oscar Bjorkman, Reena Yuan, Primal Wijesekera, Noura Alomar, Jordan Fischer, Chris Hoofnagle, Serge Egelman
2023
تم النشر فى:
Proceedings on Privacy Enhancing Technologies

المواد الدراسية
المزيد ...

course

Fundamental knowledge of cloud computing main applications and features. Fundamental knowledge of big data definition, taxonomy, and value for the enterprise, big data analytics.  …

course

This course provides a comprehensive introduction to artificial intelligence and machine learning. Key topics include the fundamentals of supervised and unsupervised learning, deep learning, and…

course

This is a continuation of the graduation project started in SWE496 . The focus will be in this part on low-level design, implementation, testing and quality assurance as well as management of the…