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 | 302 | 2019 |
Deep and machine learning approaches for anomaly-based intrusion detection of imbalanced network traffic R Abdulhammed, M Faezipour, A Abuzneid, A AbuMallouh IEEE sensors letters 3 (1), 1-4, 2018 | 184 | 2018 |
Simulation and performance analysis evaluation for variant MANET routing protocols R Al-Ani International Journal of Advancements in Computing Technology 3 (1), 1-12, 2011 | 73 | 2011 |
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 | 35 | 2019 |
Effective features selection and machine learning classifiers for improved wireless intrusion detection R Abdulhammed, M Faezipour, A Abuzneid, A Alessa 2018 International symposium on networks, computers and communications …, 2018 | 34 | 2018 |
Network intrusion detection using hardware techniques: A review R Abdulhammed, M Faezipour, KM Elleithy 2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT …, 2016 | 17 | 2016 |
Enhancing wireless intrusion detection using machine learning classification with reduced attribute sets R Abdulhammed, M Faezipour, A Abuzneid, A Alessa 2018 14th International Wireless Communications & Mobile Computing …, 2018 | 16 | 2018 |
Using OPNET to teach students computer networking subject M Hammoshi, R Al-Ani Tikrit Journal of Pure Science 15 (1), 1813-1662, 2010 | 10 | 2010 |
Intrusion Detection System in Self-Organizing Networks: A Survey R Abdulhammed, M Faezipour, K Elleithy Intrusion Detection and Prevention for Mobile Ecosystems, 339-392, 2017 | 8 | 2017 |
A proposed model to implement load and throughput of w lan implemented as wi-fi system M Hammoshi, R Alani INC2010: 6th International Conference on Networked Computing, 1-7, 2010 | 7 | 2010 |
Intrusion Detection: Embedded Software Machine Learning and Hardware Rules Based Co-Designs R Abdulhammed University of Bridgeport, 2019 | 5 | 2019 |
Malicious behavior monitoring of embedded medical devices R Abdulhammed, M Faezipour, K Elleithy 2017 IEEE Long Island Systems, Applications and Technology Conference (LISAT …, 2017 | 5 | 2017 |
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 | 3 | 2014 |
Machine learning based feature reduction for network intrusion detection AA Abuzneid, M Faezipour, R Abdulhammed, A Abu Mallouh, H Musafer | 2 | 2019 |
Blind Digital Signature schemes with four particle entanglement states S Babu, R Abdulhammed, K Elleithy, S Babu 2017 IEEE Long Island Systems, Applications and Technology Conference (LISAT …, 2017 | 2 | 2017 |
Deep and machine learning approaches for anomaly-based intrusion detection of imbalanced network traffic. IEEE Sens Lett 3 (1): 2019–2022 R Abdulhammed, M Faezipour, A Abuzneid, A Abumallouh | 2 | 2016 |
Machine learning approaches for flow-based intrusion detection systems R Abdulhammed, H Musafer, A Alessa, M Faezipour, A Abuzneid | 1 | 2018 |
Managing Different ZigBee Network Topologies Using OPNET M Hammoshi, R Al-Ani, A Sayed, M Alshihi 2nd IC on Applied Information and Communications Technology, 2014 | 1 | 2014 |
ASSAS: An automatic smart students attendance system based on normalized cross-correlation RHA Al-Mallah, D Alhelal, R Abdulhammed Bulletin of Electrical Engineering and Informatics 10 (2), 732-741, 2021 | | 2021 |
Towards Efficient Features Dimensionality Reduction for Network Intrusion Detection on Highly Imbalanced Traffic R Abdulhammed, H Musafer, M Faezipour, A Abuzneid | | 2019 |