Official government website of the Government of Kingdom of Saudi Arabia
Link to official Saudi websites end with edu.sa

All links to official educational websites in the Kingdom of Saudi Arabia end with sch.sa or edu.sa

Government websites use the HTTPS protocol for encryption and security.

Secure websites in the Kingdom of Saudi Arabia use the HTTPS protocol for encryption.

Registered with the Digital Government Authority under number:

20250417892

Qualifications

الدكتوراه

2019

الأمن السيبراني

Queen's University Belfast | بريطانيا

الماجستير

2012

البرمجة وعلوم الحاسب

جامعة نيو برنسويك | كندا

البكالوريوس

1427

علوم الحاسبات

جامعة ام القرى | المملكة العربية السعودية

Scientific Research

Few-shot learning for detecting malicious executables

2025

مقال في مجلة | Springer | Cluster Computing

أكثر

Advancing cybersecurity: AI-driven computer vision and machine learning models for real-time threat detection and prevention

2026

مقال في مجلة | Sciencedirect | Journal of Engineering Research

أكثر

An Auto Encoder-Enhanced Stacked Ensemble for Intrusion Detection in Healthcare Networks

2025

مقال في مجلة | Tech Science Press (TSP) | Computers, Materials & Continua

أكثر

Intrusion Detection Model on Network Data with Deep Adaptive Multi-Layer Attention Network (DAMLAN)

2025

مقال في مجلة | Tech Science Press (TSP) | CMES- Computer Modeling in Engineering & Sciences

أكثر

Enhancing Cybersecurity Through Artificial Intelligence: A Novel Approach to Intrusion Detection

2025

مقال في مجلة | The Science and Information Organization (SAI) | International Journal of Advanced Computer Science and Applications(ijacsa)

أكثر

A Systematic Review of Security Vulnerabilities in Smart Home Devices and Mitigation Techniques

2025

مقال في مجلة | IJCSNS | IJCSNS International Journal of Computer Science and Network Security

أكثر

Improving dynamic analysis of android apps using hybrid test input generation

2017

ورقة مؤتمر | IEEE | 2017 International Conference on Cyber Security And Protection Of Digital Services (Cyber Security)

أكثر

Machine learning-based dynamic analysis of Android apps with improved code coverage

2025

مقال في مجلة | SpringerOpen | EURASIP Journal on Information Security volume 2019

أكثر

High Accuracy Phishing Detection Based on Convolutional Neural Networks

2021

مقال في مجلة | IEEE | 3rd International Conference on Computer Applications & Information Security (ICCAIS), Riyadh, Saudi Arabia, 2020

أكثر

Mobile Botnet Detection: A Deep Learning Approach Using Convolutional Neural Networks

2021

ورقة مؤتمر | IEEE | 2020 International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA), Dublin, Ireland, 2020

أكثر

DynaLog: An automated dynamic analysis framework for characterizing android applications

2016

ورقة مؤتمر | IEEE | 2016 International Conference On Cyber Security And Protection Of Digital Services (Cyber Security)

أكثر

EMULATOR vs REAL PHONE: Android Malware Detection Using Machine Learning

2017

ورقة مؤتمر | Association for Computing Machinery | IWSPA '17: Proceedings of the 3rd ACM on International Workshop on Security And Privacy Analytics

أكثر

DL-Droid: Deep learning based android malware detection using real devices

2019

مقال في مجلة | ScienceDirect | Computers & Security

أكثر

Deep Learning Techniques for Android Botnet Detection

2021

مقال في مجلة | MDPI | ELECTRONICS

أكثر