IoT Botnet Detection: Application of Vision Transformer to Classification of Network Flow Traffic
Fuente:
arXiv
Saved in:
| Main Authors: | Wasswa, Hassan, Lynar, Timothy, Nanyonga, Aziida, Abbass, Hussein |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Are GNNs Worth the Effort for IoT Botnet Detection? A Comparative Study of VAE-GNN vs. ViT-MLP and VAE-MLP Approaches
by: Wasswa, Hassan, et al.
Published: (2025)
by: Wasswa, Hassan, et al.
Published: (2025)
Impact of Latent Space Dimension on IoT Botnet Detection Performance: VAE-Encoder Versus ViT-Encoder
by: Wasswa, Hassan, et al.
Published: (2025)
by: Wasswa, Hassan, et al.
Published: (2025)
Graph Attention Neural Network for Botnet Detection: Evaluating Autoencoder, VAE and PCA-Based Dimension Reduction
by: Wasswa, Hassan, et al.
Published: (2025)
by: Wasswa, Hassan, et al.
Published: (2025)
Toward Real-World IoT Security: Concept Drift-Resilient IoT Botnet Detection via Latent Space Representation Learning and Alignment
by: Wasswa, Hassan, et al.
Published: (2025)
by: Wasswa, Hassan, et al.
Published: (2025)
Enhancing IoT-Botnet Detection using Variational Auto-encoder and Cost-Sensitive Learning: A Deep Learning Approach for Imbalanced Datasets
by: Wasswa, Hassan, et al.
Published: (2025)
by: Wasswa, Hassan, et al.
Published: (2025)
How the Graph Construction Technique Shapes Performance in IoT Botnet Detection
by: Wasswa, Hassan, et al.
Published: (2026)
by: Wasswa, Hassan, et al.
Published: (2026)
A Quantized VAE-MLP Botnet Detection Model: A Systematic Evaluation of Quantization-Aware Training and Post-Training Quantization Strategies
by: Wasswa, Hassan, et al.
Published: (2025)
by: Wasswa, Hassan, et al.
Published: (2025)
Preserving Seasonal and Trend Information: A Variational Autoencoder-Latent Space Arithmetic Based Approach for Non-stationary Learning
by: Wasswa, Hassan, et al.
Published: (2025)
by: Wasswa, Hassan, et al.
Published: (2025)
Explainable Deep Learning for Pediatric Pneumonia Detection in Chest X-Ray Images
by: Khadidos, Adil O., et al.
Published: (2026)
by: Khadidos, Adil O., et al.
Published: (2026)
Poster: Camera Tampering Detection for Outdoor IoT Systems
by: Attarha, Shadi, et al.
Published: (2026)
by: Attarha, Shadi, et al.
Published: (2026)
Q-HyViT: Post-Training Quantization of Hybrid Vision Transformers with Bridge Block Reconstruction for IoT Systems
by: Lee, Jemin, et al.
Published: (2023)
by: Lee, Jemin, et al.
Published: (2023)
Towards Scalable IoT Deployment for Visual Anomaly Detection via Efficient Compression
by: Stropeni, Arianna, et al.
Published: (2025)
by: Stropeni, Arianna, et al.
Published: (2025)
ForestProtector: An IoT Architecture Integrating Machine Vision and Deep Reinforcement Learning for Efficient Wildfire Monitoring
by: Bonilla-Ormachea, Kenneth, et al.
Published: (2025)
by: Bonilla-Ormachea, Kenneth, et al.
Published: (2025)
ReStNet: A Reusable & Stitchable Network for Dynamic Adaptation on IoT Devices
by: Wang, Maoyu, et al.
Published: (2025)
by: Wang, Maoyu, et al.
Published: (2025)
Hierarchical Vision Transformer Enhanced by Graph Convolutional Network for Image Classification
by: Jiao, Haibin
Published: (2026)
by: Jiao, Haibin
Published: (2026)
Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment
by: kumar, A. Karthick, et al.
Published: (2025)
by: kumar, A. Karthick, et al.
Published: (2025)
Sensitive Image Classification by Vision Transformers
by: He, Hanxian, et al.
Published: (2024)
by: He, Hanxian, et al.
Published: (2024)
Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques
by: Nanyonga, Aziida, et al.
Published: (2025)
by: Nanyonga, Aziida, et al.
Published: (2025)
Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding
by: Kang, Solha, et al.
Published: (2025)
by: Kang, Solha, et al.
Published: (2025)
Enhancing Breast Cancer Detection with Vision Transformers and Graph Neural Networks
by: Cai, Yeming, et al.
Published: (2025)
by: Cai, Yeming, et al.
Published: (2025)
Evaluating Deep Learning Models for African Wildlife Image Classification: From DenseNet to Vision Transformers
by: Aliyu, Lukman Jibril, et al.
Published: (2025)
by: Aliyu, Lukman Jibril, et al.
Published: (2025)
Surveillance Video-Based Traffic Accident Detection Using Transformer Architecture
by: Singh, Tanu, et al.
Published: (2025)
by: Singh, Tanu, et al.
Published: (2025)
University Building Recognition Dataset in Thailand for the mission-oriented IoT sensor system
by: Taniguchi, Takara, et al.
Published: (2025)
by: Taniguchi, Takara, et al.
Published: (2025)
Utilizing AI for Aviation Post-Accident Analysis Classification
by: Nanyonga, Aziida, et al.
Published: (2025)
by: Nanyonga, Aziida, et al.
Published: (2025)
Salient Mask-Guided Vision Transformer for Fine-Grained Classification
by: Demidov, Dmitry, et al.
Published: (2023)
by: Demidov, Dmitry, et al.
Published: (2023)
Aviation Safety Enhancement via NLP & Deep Learning: Classifying Flight Phases in ATSB Safety Reports
by: Nanyonga, Aziida, et al.
Published: (2025)
by: Nanyonga, Aziida, et al.
Published: (2025)
Leveraging Vision-Language Models to Detect Attention in Educational Videos
by: Becquet, Gabriel, et al.
Published: (2026)
by: Becquet, Gabriel, et al.
Published: (2026)
PhyDCM: A Reproducible Open-Source Framework for AI-Assisted Brain Tumor Classification from Multi-Sequence MRI
by: Abdulbaqi, Hayder Saad, et al.
Published: (2026)
by: Abdulbaqi, Hayder Saad, et al.
Published: (2026)
Wildfire Detection Using Vision Transformer with the Wildfire Dataset
by: Vuppari, Gowtham Raj, et al.
Published: (2025)
by: Vuppari, Gowtham Raj, et al.
Published: (2025)
Siamese Transformer Networks for Few-shot Image Classification
by: Jiang, Weihao, et al.
Published: (2024)
by: Jiang, Weihao, et al.
Published: (2024)
MDDFNet: Mamba-based Dynamic Dual Fusion Network for Traffic Sign Detection
by: Yu, TianYi
Published: (2025)
by: Yu, TianYi
Published: (2025)
A Data-Centric Vision Transformer Baseline for SAR Sea Ice Classification
by: Mike-Ewewie, David, et al.
Published: (2026)
by: Mike-Ewewie, David, et al.
Published: (2026)
Comparing Optical Flow and Deep Learning to Enable Computationally Efficient Traffic Event Detection with Space-Filling Curves
by: Bouraffa, Tayssir, et al.
Published: (2024)
by: Bouraffa, Tayssir, et al.
Published: (2024)
Hybrid Spiking Vision Transformer for Object Detection with Event Cameras
by: Xu, Qi, et al.
Published: (2025)
by: Xu, Qi, et al.
Published: (2025)
Surformer v1: Transformer-Based Surface Classification Using Tactile and Vision Features
by: Kansana, Manish, et al.
Published: (2025)
by: Kansana, Manish, et al.
Published: (2025)
Cross-Task Multi-Branch Vision Transformer for Facial Expression and Mask Wearing Classification
by: Zhu, Armando, et al.
Published: (2024)
by: Zhu, Armando, et al.
Published: (2024)
Comparative Study of Deep Learning Architectures for Textual Damage Level Classification
by: Nanyonga, Aziida, et al.
Published: (2025)
by: Nanyonga, Aziida, et al.
Published: (2025)
Topic Modeling Analysis of Aviation Accident Reports: A Comparative Study between LDA and NMF Models
by: Nanyonga, Aziida, et al.
Published: (2024)
by: Nanyonga, Aziida, et al.
Published: (2024)
AT-SNN: Adaptive Tokens for Vision Transformer on Spiking Neural Network
by: Kang, Donghwa, et al.
Published: (2024)
by: Kang, Donghwa, et al.
Published: (2024)
Orthogonal Quadratic Complements for Vision Transformer Feed-Forward Networks
by: Zixian, Wang
Published: (2026)
by: Zixian, Wang
Published: (2026)
Similar Items
-
Are GNNs Worth the Effort for IoT Botnet Detection? A Comparative Study of VAE-GNN vs. ViT-MLP and VAE-MLP Approaches
by: Wasswa, Hassan, et al.
Published: (2025) -
Impact of Latent Space Dimension on IoT Botnet Detection Performance: VAE-Encoder Versus ViT-Encoder
by: Wasswa, Hassan, et al.
Published: (2025) -
Graph Attention Neural Network for Botnet Detection: Evaluating Autoencoder, VAE and PCA-Based Dimension Reduction
by: Wasswa, Hassan, et al.
Published: (2025) -
Toward Real-World IoT Security: Concept Drift-Resilient IoT Botnet Detection via Latent Space Representation Learning and Alignment
by: Wasswa, Hassan, et al.
Published: (2025) -
Enhancing IoT-Botnet Detection using Variational Auto-encoder and Cost-Sensitive Learning: A Deep Learning Approach for Imbalanced Datasets
by: Wasswa, Hassan, et al.
Published: (2025)