Rami Mustafa A. Mohammad

According to our database, Rami Mustafa A. Mohammad authored at least 24 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., June, 2023

Intrusion Detection System Using Feature Extraction with Machine Learning Algorithms in IoT.

Dhiaa Musleh, Meera Alotaibi, Fahd A. Alhaidari, Atta-ur-Rahman, Rami Mustafa A. Mohammad

J. Sens. Actuator Networks, April, 2023

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, April, 2023

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

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

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

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

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

IEEE Access, 2022

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

Intrusion detection using Highest Wins feature selection algorithm.

Rami Mustafa A. Mohammad, Mutasem K. Alsmadi

Neural Comput. Appl., 2021

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

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

Exploring Cyber Security Measures in Smart Cities.

Rami Mustafa A. Mohammad, Mamoun Masoud Abdulqader

Proceedings of the 21st International Arab Conference on Information Technology, 2020

2019

A comparison of machine learning techniques for file system forensics analysis.

Rami Mustafa A. Mohammad, Mohammed Abdulrahman Alqahtani

J. Inf. Secur. Appl., 2019

Prediction of Coronary Heart Disease using Machine Learning: An Experimental Analysis.

Amanda H. Gonsalves, Fadi A. Thabtah, Rami Mustafa A. Mohammad, Gurpreet Singh

Proceedings of the 2019 3rd International Conference on Deep Learning Technologies, 2019

2018

A Neural Network based Digital Forensics Classification.

Rami Mustafa A. Mohammad

Proceedings of the 15th IEEE/ACS International Conference on Computer Systems and Applications, 2018

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

PhD thesis, 2016

An Improved Self-Structuring Neural Network.

Rami Mustafa A. Mohammad, Fadi A. Thabtah, Lee McCluskey

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

A dynamic self-structuring neural network model to combat phishing.

Fadi A. Thabtah, Rami Mustafa A. Mohammad, Lee McCluskey

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Phishing Websites.

Rami Mustafa A. Mohammad, Lee McCluskey

Dataset, March, 2015

Tutorial and critical analysis of phishing websites methods.

Rami Mustafa A. Mohammad, Fadi A. Thabtah, Lee McCluskey

Comput. Sci. Rev., 2015

2014

Predicting phishing websites based on self-structuring neural network.

Rami Mustafa A. Mohammad, Fadi A. Thabtah, Lee McCluskey

Neural Comput. Appl., 2014

Intelligent rule-based phishing websites classification.

Rami Mustafa A. Mohammad, Fadi A. Thabtah, Lee McCluskey

IET Inf. Secur., 2014

2012

An assessment of features related to phishing websites using an automated technique.

Rami Mustafa A. Mohammad, Fadi A. Thabtah, Lee McCluskey

Proceedings of the 7th International Conference for Internet Technology and Secured Transactions, 2012