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20242026
most citedTopic Modeling Analysis of Aviation Accident Reports: A Comparative Study between LDA and NMF Models

18 citations · 53 across the 17 of their papers we have counts for

collaborators

17 papers

cs.NI2026

How the Graph Construction Technique Shapes Performance in IoT Botnet Detection

Hassan Wasswa, Hussein Abbass, Timothy Lynar

The increasing incidence of IoT-based botnet attacks has driven interest in advanced learning models for detection. Recent efforts have focused on leveraging attention mechanisms t…

cs.LG2025

Toward Real-World IoT Security: Concept Drift-Resilient IoT Botnet Detection via Latent Space Representation Learning and Alignment

Hassan Wasswa, Timothy Lynar

Although AI-based models have achieved high accuracy in IoT threat detection, their deployment in enterprise environments is constrained by reliance on stationary datasets that fai…

cs.LG2025

A Quantized VAE-MLP Botnet Detection Model: A Systematic Evaluation of Quantization-Aware Training and Post-Training Quantization Strategies

Hassan Wasswa, Hussein Abbass, Timothy Lynar

In an effort to counter the increasing IoT botnet-based attacks, state-of-the-art deep learning methods have been proposed and have achieved impressive detection accuracy. However,…

cs.CV2025

Are GNNs Worth the Effort for IoT Botnet Detection? A Comparative Study of VAE-GNN vs. ViT-MLP and VAE-MLP Approaches

Hassan Wasswa, Hussein Abbass, Timothy Lynar

Due to the exponential rise in IoT-based botnet attacks, researchers have explored various advanced techniques for both dimensionality reduction and attack detection to enhance IoT…

cs.LG2025

Graph Attention Neural Network for Botnet Detection: Evaluating Autoencoder, VAE and PCA-Based Dimension Reduction

Hassan Wasswa, Hussein Abbass, Timothy Lynar

With the rise of IoT-based botnet attacks, researchers have explored various learning models for detection, including traditional machine learning, deep learning, and hybrid approa…

cs.LG2025

Enhancing IoT-Botnet Detection using Variational Auto-encoder and Cost-Sensitive Learning: A Deep Learning Approach for Imbalanced Datasets

Hassan Wasswa, Timothy Lynar, Hussein Abbass

The Internet of Things (IoT) technology has rapidly gained popularity with applications widespread across a variety of industries. However, IoT devices have been recently serving a…