12 citations · 12 across the 2 of their papers we have counts for
3 papers
cs.CR2026
A Deployment-Aware Feasibility Framework for Machine Learning-Based IoT Intrusion Detection Across Edge, Fog, and Cloud Architectures
Shaker Nawasra, Munther Abualkibash
The rapid growth and heterogeneity of Internet of Things (IoT) environments have exposed fundamental limitations in traditional rule-based and signature-based intrusion detection s…
cs.CR2020★ 12 cited
Machine Learning in Network Security Using KNIME Analytics
Munther Abualkibash
Machine learning has more and more effect on our every day's life. This field keeps growing and expanding into new areas. Machine learning is based on the implementation of artific…
cs.DC2013
Highly Scalable, Parallel and Distributed AdaBoost Algorithm using Light Weight Threads and Web Services on a Network of Multi-Core Machines
Munther Abualkibash, Ahmed ElSayed, Ausif Mahmood
AdaBoost is an important algorithm in machine learning and is being widely used in object detection. AdaBoost works by iteratively selecting the best amongst weak classifiers, and…