Transformer-based tokenization for IoT traffic classification across diverse network environments
The rapid expansion of the Internet of Things (IoT) has significantly increased the volume and diversity of network traffic, making accurate IoT traffic classification crucial for maintaining network security and efficiency. However, existing traffic classification methods, including traditional mac...
Saved in:
| Main Authors: | Firdaus Afifi, Faiz Zaki, Hazim Hanif, Nik Aqil, Nor Badrul Anuar |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2025-08-01
|
| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-3126.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Unleashing the Potential of Knowledge Distillation for IoT Traffic Classification
by: Mahmoud Abbasi, et al.
Published: (2024-01-01) -
IoT-Based Traffic Prediction for Smart Cities
by: Zhinong Miao, et al.
Published: (2025-01-01) -
SDN and Traffic Fine Operation
by: Subin Wang, et al.
Published: (2014-11-01) -
An Adaptive Intrusion Detection System for Evolving IoT Threats: An Autoencoder-FNN Fusion
by: J. Jasmine Shirley, et al.
Published: (2025-01-01) -
SafeTrax: Smart Collision Prediction and Alert System Using IoT for Sustainable Traffic Safety
by: Md. Fahim Bin Amin, et al.
Published: (2025-01-01)