3 papers
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…
cs.LG2025
Preserving Seasonal and Trend Information: A Variational Autoencoder-Latent Space Arithmetic Based Approach for Non-stationary Learning
Hassan Wasswa, Aziida Nanyonga, Timothy Lynar
AI models have garnered significant research attention towards predictive task automation. However, a stationary training environment is an underlying assumption for most models an…
cs.CV2025
IoT Botnet Detection: Application of Vision Transformer to Classification of Network Flow Traffic
Hassan Wasswa, Timothy Lynar, Aziida Nanyonga +1
Despite the demonstrated effectiveness of transformer models in NLP, and image and video classification, the available tools for extracting features from captured IoT network flow…