78 citations · 230 across the 50 of their papers we have counts for
7 papers · 1 filter
Malware Classification from Memory Dumps Using Machine Learning, Transformers, and Large Language Models
Areej Dweib, Montaser Tanina, Shehab Alawi +2
This study investigates the performance of various classification models for a malware classification task using different feature sets and data configurations. Six models-Logistic…
Network Traffic Classification Using Machine Learning, Transformer, and Large Language Models
Ahmad Antari, Yazan Abo-Aisheh, Jehad Shamasneh +1
This study uses various models to address network traffic classification, categorizing traffic into web, browsing, IPSec, backup, and email. We collected a comprehensive dataset fr…
The effect of different feature selection methods on models created with XGBoost
Jorge Neyra, Vishal B. Siramshetty, Huthaifa I. Ashqar
This study examines the effect that different feature selection methods have on models created with XGBoost, a popular machine learning algorithm with superb regularization methods…
Effect of roundabout design on the behavior of road users: A case study of roundabouts with application of Unsupervised Machine Learning
Tasnim M. Dwekat, Ayda A. Almsre, Huthaifa I. Ashqar
This research aims to evaluate the performance of the rotors and study the behavior of the human driver in interacting with the rotors. In recent years, rotors have been increasing…
How Do Drivers Behave at Roundabouts in a Mixed Traffic? A Case Study Using Machine Learning
Farah Abu Hamad, Rama Hasiba, Deema Shahwan +1
Driving behavior is considered a unique driving habit of each driver and has a significant impact on road safety. Classifying driving behavior and introducing policies based on the…
Detection of DDoS Attacks in Software Defined Networking Using Machine Learning Models
Ahmad Hamarshe, Huthaifa I. Ashqar, Mohammad Hamarsheh
The concept of Software Defined Networking (SDN) represents a modern approach to networking that separates the control plane from the data plane through network abstraction, result…
Smartphone Transportation Mode Recognition Using a Hierarchical Machine Learning Classifier and Pooled Features From Time and Frequency Domains
Huthaifa I. Ashqar, Mohammed H. Almannaa, Mohammed Elhenawy +2
This paper develops a novel two-layer hierarchical classifier that increases the accuracy of traditional transportation mode classification algorithms. This paper also enhances cla…