An assessment of features related to phishing websites using an automated technique. - Rami Mustafa A. Mohammad; Fadi A. Thabtah; Lee McCluskey (ICITST, 2012)

Intelligent rule-based phishing websites classification. - Rami Mustafa A. Mohammad; Fadi A. Thabtah; Lee McCluskey (IET Inf. Secur., 2014)

Predicting phishing websites based on self-structuring neural network. - Rami Mustafa A. Mohammad; Fadi A. Thabtah; Lee McCluskey (Neural Comput. Appl., 2014)

Tutorial and critical analysis of phishing websites methods. - Rami Mustafa A. Mohammad; Fadi A. Thabtah; Lee McCluskey (Comput. Sci. Rev., 2015)

Phishing Websites. - Rami Mustafa A. Mohammad; Lee McCluskey (UCI Machine Learning Repository, 2015)

A dynamic self-structuring neural network model to combat phishing. - Fadi A. Thabtah; Rami Mustafa A. Mohammad; Lee McCluskey (IJCNN, 2016)

An Improved Self-Structuring Neural Network. - Rami Mustafa A. Mohammad; Fadi A. Thabtah; Lee McCluskey (PAKDD Workshops, 2016)

An ensemble self-structuring neural network approach to solving classification problems with virtual concept drift and its application to phishing websites. - Rami Mustafa A. Mohammad (2016)

A Neural Network based Digital Forensics Classification. - Rami Mustafa A. Mohammad (AICCSA, 2018)

Prediction of Coronary Heart Disease using Machine Learning: An Experimental Analysis. - Amanda H. Gonsalves; Fadi A. Thabtah; Rami Mustafa A. Mohammad; Gurpreet Singh (ICDLT, 2019)

A comparison of machine learning techniques for file system forensics analysis. - Rami Mustafa A. Mohammad; Mohammed Abdulrahman Alqahtani (J. Inf. Secur. Appl., 2019)

Exploring Cyber Security Measures in Smart Cities. - Rami Mustafa A. Mohammad; Mamoun Masoud Abdulqader (ACIT, 2020)

An improved rule induction based denial of service attacks classification model. - Rami Mustafa A. Mohammad; Mutasem K. Alsmadi; Ibrahim Almarashdeh; Malek Alzaqebah (Comput. Secur., 2020)

Improved Multi-Verse Optimizer Feature Selection Technique With Application To Phishing, Spam, and Denial Of Service Attacks. - Malek Alzaqebah; Sana Jawarneh; Rami Mustafa A. Mohammad; Mutasem K. Alsmadi; Ibrahim Almarashdeh (Int. J. Commun. Networks Inf. Secur., 2021)

Intrusion detection using Highest Wins feature selection algorithm. - Rami Mustafa A. Mohammad; Mutasem K. Alsmadi (Neural Comput. Appl., 2021)

Intelligent Techniques for Detecting Network Attacks: Review and Research Directions. - Malak Saleh Aljabri; Sumayh S. Aljameel; Rami Mustafa A. Mohammad; Sultan H. Almotiri; Samiha Mirza; Fatima M. Anis; Menna Aboulnour; Dorieh M. Alomari; Dina H. Alhamed; Hanan S. Altamimi (Sensors, 2021)

Detecting Malicious URLs Using Machine Learning Techniques: Review and Research Directions. - Malak Saleh Aljabri; Hanan S. Altamimi; Shahd A. Albelali; Maimunah Al-Harbi; Haya T. Alhuraib; Najd K. Alotaibi; Amal A. Alahmadi; Fahd A. Alhaidari; Rami Mustafa A. Mohammad; Khaled Salah 001 (IEEE Access, 2022)

Classifying the Mortality of People with Underlying Health Conditions Affected by COVID-19 Using Machine Learning Techniques. - Rami Mustafa A. Mohammad; Malak Saleh Aljabri; Menna Aboulnour; Samiha Mirza; Ahmad Alshobaiki (Appl. Comput. Intell. Soft Comput., 2022)

Enhancing the blockchain voting process in IoT using a novel blockchain Weighted Majority Consensus Algorithm (WMCA). - Manal Mohamed Alhejazi; Rami Mustafa A. Mohammad (Inf. Secur. J. A Glob. Perspect., 2022)

Hybrid Brain Storm Optimization algorithm and Late Acceptance Hill Climbing to solve the Flexible Job-Shop Scheduling Problem. - Malek Alzaqebah; Sana Jawarneh; Maram Al-Wohaibi; Mutasem K. Alsmadi; Ibrahim Almarashdeh; Rami Mustafa A. Mohammad (J. King Saud Univ. Comput. Inf. Sci., 2022)

An Enhanced Multiclass Support Vector Machine Model and its Application to Classifying File Systems Affected by a Digital Crime. - Rami Mustafa A. Mohammad (J. King Saud Univ. Comput. Inf. Sci., 2022)

Machine Learning-Based Detection for Unauthorized Access to IoT Devices. - Malak Saleh Aljabri; Amal A. Alahmadi; Rami Mustafa A. Mohammad; Fahd A. Alhaidari; Menna Aboulnour; Dorieh M. Alomari; Samiha Mirza (J. Sens. Actuator Networks, 2023)

Intrusion Detection System Using Feature Extraction with Machine Learning Algorithms in IoT. - Dhiaa Musleh; Meera Alotaibi; Fahd A. Alhaidari; Atta-ur-Rahman 001; Rami Mustafa A. Mohammad (J. Sens. Actuator Networks, 2023)

Intelligent Techniques for Predicting Stock Market Prices: A Critical Survey. - Esra'a Alshabeeb; Malak Aljabri; Rami Mustafa A. Mohammad; Fatemah S. Alqarqoosh; Aseel A. Alqahtani; Zainab T. Alibrahim; Najd Y. Alawad; Mashael A. Alzeer (J. Inf. Knowl. Manag., 2023)

WristSense: A Wrist-Wear Dataset for Identifying Aggressive Tendencies. - Norah Ahmed Almubairik; Fakhri Alam Khan; Rami Mustafa A. Mohammad (AIAI (1), 2024)

Intrusion Detection Using an Improved Cuckoo Search Optimization Algorithm. - Mutasem K. Alsmadi; Rami Mustafa A. Mohammad; Malek Alzaqebah; Sana Jawarneh; Muath AlShaikh; Ahmad Al Smadi; Fahad A. Alghamdi; Jehad Saad Alqurni; Hayat Alfagham (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2024)

Image encryption algorithm based on factorial decomposition. - Muath AlShaikh; Malek Alzaqebah; Nabil Gmati; Nashat Alrefai; Mutasem K. Alsmadi; Ibrahim Almarashdeh; Rami Mustafa A. Mohammad; Sultan Alamri; Mostefa Kara (Multim. Tools Appl., 2024)

Ad Click Fraud Detection Using Machine Learning and Deep Learning Algorithms. - Reem A. Alzahrani; Malak Aljabri; Rami Mustafa A. Mohammad (IEEE Access, 2025)

WristSense framework: Exploring the forensic potential of wrist-wear devices through case studies. - Norah Ahmed Almubairik; Fakhri Alam Khan; Rami Mustafa A. Mohammad; Mubarak Alshahrani (Forensic Sci. Int. Digit. Investig., 2025)