Hassan Musafer
Cited by
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Features dimensionality reduction approaches for machine learning based network intrusion detection
R Abdulhammed, H Musafer, A Alessa, M Faezipour, A Abuzneid
Electronics 8 (3), 322, 2019
An enhanced design of sparse autoencoder for latent features extraction based on trigonometric simplexes for network intrusion detection systems
H Musafer, A Abuzneid, M Faezipour, A Mahmood
Electronics 9 (2), 259, 2020
Efficient network intrusion detection using pca-based dimensionality reduction of features
R Abdulhammed, M Faezipour, H Musafer, A Abuzneid
2019 International symposium on networks, computers and communications …, 2019
Dynamic hassan nelder mead with simplex free selectivity for unconstrained optimization
HA Musafer, A Mahmood
Ieee Access 6, 39015-39026, 2018
Machine learning based feature reduction for network intrusion detection
AA Abuzneid, M Faezipour, R Abdulhammed, A Abu Mallouh, H Musafer
A novel partitioning scheme for partial transmit sequence method
H Musafer, M Faezipour
2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile …, 2021
Machine learning approaches for flow-based intrusion detection systems
R Abdulhammed, H Musafer, A Alessa, M Faezipour, AA Abuzneid
A dynamic clustering algorithm for object tracking and localization in WSN
H Musafer, R Abdulhammed, E Abdelfattah, KM Elleithy
International Society for Computers and Their Applications, Inc., 2014
High-dimensional normalized data profiles for testing derivative-free optimization algorithms
H Musafer, E Tokgoz, A Mahmood
PeerJ Computer Science 8, e960, 2022
Sequential Evolutionary Operations of Trigonometric Simplex Designs for High-Dimensional Unconstrained Optimization Applications
H Musafer
University of Bridgeport, 2020
Towards Efficient Features Dimensionality Reduction for Network Intrusion Detection on Highly Imbalanced Traffic
R Abdulhammed, H Musafer, M Faezipour, AA Abuzneid
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