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Rami Mustafa A Mohammad
Rami Mustafa A Mohammad
Imam Abdulrahman Bin Faisal University - University of Dammam
Verified email at uod.edu.sa
Title
Cited by
Cited by
Year
Predicting phishing websites based on self-structuring neural network
RM Mohammad, F Thabtah, L McCluskey
Neural Computing and Applications 25, 443-458, 2014
3802014
An assessment of features related to phishing websites using an automated technique
RM Mohammad, F Thabtah, L McCluskey
2012 international conference for internet technology and secured …, 2012
2862012
Intelligent rule‐based phishing websites classification
RM Mohammad, F Thabtah, L McCluskey
IET Information Security 8 (3), 153-160, 2014
2852014
Tutorial and critical analysis of phishing websites methods
RM Mohammad, F Thabtah, L McCluskey
Computer Science Review 17, 2015
1932015
Prediction of coronary heart disease using machine learning: an experimental analysis
AH Gonsalves, F Thabtah, RMA Mohammad, G Singh
Proceedings of the 2019 3rd International Conference on Deep Learning …, 2019
1382019
Phishing websites features
RM Mohammad, F Thabtah, L McCluskey
Unpublished. Available via: http://eprints. hud. ac. uk/24330/6 …, 2015
912015
Autism AI: a new autism screening system based on artificial intelligence
SR Shahamiri, F Thabtah, M RM
Cognitive Computation 12 (4), 766-777, 2020
802020
Phishing websites dataset
R Mohammad, FA Thabtah, TL McCluskey
University of Huddersfield, 2015
77*2015
Predicting phishing websites using neural network trained with back-propagation
R Mohammad, TL McCluskey, F Thabtah
World Congress in Computer Science, Computer Engineering, and Applied Computing, 2013
712013
Intelligent techniques for detecting network attacks: review and research directions
M Aljabri, SS Aljameel, RMA Mohammad, SH Almotiri, S Mirza, FM Anis, ...
Sensors 21 (21), 7070, 2021
582021
Digitalization of learning in Saudi Arabia during the COVID-19 outbreak: A survey
MK Alsmadi, I Al-Marashdeh, M Alzaqebah, G Jaradat, FA Alghamdi, ...
Informatics in Medicine Unlocked 25, 100632, 2021
492021
Intrusion detection system using feature extraction with machine learning algorithms in IoT
D Musleh, M Alotaibi, F Alhaidari, A Rahman, RM Mohammad
Journal of Sensor and Actuator Networks 12 (2), 29, 2023
472023
Memory based cuckoo search algorithm for feature selection of gene expression dataset
M Alzaqebah, K Briki, N Alrefai, S Brini, S Jawarneh, MK Alsmadi, ...
Informatics in Medicine Unlocked 24, 100572, 2021
472021
A comparison of machine learning techniques for file system forensics analysis
MA Rami Mustafa A.Mohammad
Journal of Information Security and Applications 46 (1), 53-61, 2019
422019
Detecting malicious URLs using machine learning techniques: review and research directions
M Aljabri, HS Altamimi, SA Albelali, M Al-Harbi, HT Alhuraib, NK Alotaibi, ...
IEEE Access 10, 121395-121417, 2022
382022
A dynamic self-structuring neural network model to combat phishing
F Thabtah, RM Mohammad, L McCluskey
2016 international joint conference on neural networks (ijcnn), 4221-4226, 2016
382016
Hybrid brain storm optimization algorithm and late acceptance hill climbing to solve the flexible job-shop scheduling problem
M Alzaqebah, S Jawarneh, M Alwohaibi, MK Alsmadi, I Almarashdeh, ...
Journal of King Saud University-Computer and Information Sciences 34 (6 …, 2022
362022
Hybrid Feature Selection Method based on Particle Swarm Optimization and Adaptive local Search Method
M Alzaqebah, S Jawarneh, RMA Mohammad, MK Alsmadi, ...
International Journal of Electrical and Computer Engineering (IJECE) 11 (3 …, 2021
36*2021
An Assessment of Lexical, Network, and Content-Based Features for Detecting Malicious URLs Using Machine Learning and Deep Learning Models
SMBC Malak Aljabri, Fahd Alhaidari, Rami Mustafa A. Mohammad, Samiha Mirza ...
Computational Intelligence and Neuroscience 2022, 1-14, 2022
35*2022
A lifelong spam emails classification model
RMA Mohammad
Applied Computing and Informatics, 2020
35*2020
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