R. Mohammad

发表

Intelligent Techniques for Detecting Network Attacks: Review and Research Directions

Sultan H. Almotiri, Sumayh S. Aljameel, M. Aljabri, 2021, Sensors.

An Improved Multi-Class Classification Algorithm based on Association Classification Approach and its Application to Spam Emails

R. Mohammad, 2020 .

The adoption of bitcoins technology: The difference between perceived future expectation and intention to use bitcoins: Does social influence matter?

Ghaith M. Jaradat, Kamal Eldin Eldaw, M. Alsmadi, 2021 .

Detecting Malicious URLs Using Machine Learning Techniques: Review and Research Directions

K. Salah, M. Aljabri, R. Mohammad, 2022, IEEE Access.

Memory based cuckoo search algorithm for feature selection of gene expression dataset

Abdullah Alqahtani, Nahier Aldhafferi, Rami Mustafa A. Mohammad, 2021 .

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, R. Mohammad, 2016 .

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

Gurpreet Singh, Fadi Thabtah, Rami Mustafa A. Mohammad, 2019, ICDLT.

Predicting phishing websites based on self-structuring neural network

T. L. McCluskey, Fadi A. Thabtah, Rami Mustafa A. Mohammad, 2013, Neural Computing and Applications.

A lifelong spam emails classification model

Rami Mustafa A. Mohammad, R. Mohammad, 2020, Applied Computing and Informatics.

An Assessment of Lexical, Network, and Content-Based Features for Detecting Malicious URLs Using Machine Learning and Deep Learning Models

M. Aljabri, R. Mohammad, Hanan S. Altamimi, 2022, Computational intelligence and neuroscience.

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

R. Mohammad, F. Alhaidari, Dhiaa Musleh, 2023, J. Sens. Actuator Networks.

Click fraud detection for online advertising using machine learning

M. Aljabri, R. Mohammad, 2023, Egyptian Informatics Journal.

Machine Learning-Based Detection for Unauthorized Access to IoT Devices

M. Aljabri, R. Mohammad, Samiha Mirza, 2023, J. Sens. Actuator Networks.

Improved Multi-Verse Optimizer Feature Selection Technique With Application To Phishing, Spam, and Denial Of Service Attacks

Ibrahim Almarashdeh, Rami Mustafa A. Mohammad, Malek Alzaqebah, 2021, Int. J. Commun. Networks Inf. Secur..

Intelligent rule-based phishing websites classification

T. L. McCluskey, Fadi A. Thabtah, Rami Mustafa A. Mohammad, 2014, IET Inf. Secur..

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

T. L. McCluskey, Fadi A. Thabtah, Rami Mustafa A. Mohammad, 2012, 2012 International Conference for Internet Technology and Secured Transactions.

Classification of Firewall Log Data Using Multiclass Machine Learning Models

Sultan H. Almotiri, M. Aljabri, R. Mohammad, 2022, Electronics.

An Enhanced Multiclass Support Vector Machine Model and its Application to Classifying File Systems Affected by a Digital Crime

Rami M. Mohammad, R. Mohammad, 2019, J. King Saud Univ. Comput. Inf. Sci..

A Neural Network based Digital Forensics Classification

Rami Mustafa A. Mohammad, R. Mohammad, 2018, 2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA).

Tutorial and critical analysis of phishing websites methods

T. L. McCluskey, Fadi A. Thabtah, Rami Mustafa A. Mohammad, 2015, Comput. Sci. Rev..

Enhancing the blockchain voting process in IoT using a novel blockchain Weighted Majority Consensus Algorithm (WMCA)

Rami Mustafa A. Mohammad, Manal Mohamed Alhejazi, R. Mohammad, 2021, Inf. Secur. J. A Glob. Perspect..

University of Huddersfield Repository Intelligent Rule based Phishing Websites Classification

L. Mccluskey, T. McCluskey, F. Thabtah, 2022 .

A comparison of machine learning techniques for file system forensics analysis

Rami M. Mohammad, Mohammed Abdulrahman Alqahtani, R. Mohammad, 2019, J. Inf. Secur. Appl..

Speeding up Anti-Phishing Tools Development using Self-Structuring Neural Network

Rami M. Mohammad, R. Mohammad, 2015 .

Intrusion detection using Highest Wins feature selection algorithm

Rami Mustafa A. Mohammad, Mutasem K. Alsmadi, M. Alsmadi, 2021, Neural Computing and Applications.

An improved rule induction based denial of service attacks classification model

Ibrahim Almarashdeh, Malek Alzaqebah, Mutasem K. Alsmadi, 2020, Comput. Secur..

University of Huddersfield Repository Intelligent Rule based Phishing Websites Classification

L. Mccluskey, F. Thabtah, R. Mohammad, 2022 .

Classifying the Mortality of People with Underlying Health Conditions Affected by COVID-19 Using Machine Learning Techniques

M. Aljabri, R. Mohammad, Samiha Mirza, 2022, Appl. Comput. Intell. Soft Comput..