TY  - JOUR 
AU  - Martin Reizabal, Sergio
AU  - Caballero Quiroga, Adrian
AU  - Gil Arroyo, Beatriz
AU  - Basurto Hornillos, Nuño
AU  - Ruiz González, Rubén
PY  - 2026
SN  - 2542-6605
UR  - https://hdl.handle.net/10259/11860
AB  - The explosive growth of the IoT has led to an increasingly complex and heterogeneous network traffic, posing major challenges for intrusion detection. Most existing machine learning and deep learning approaches model network traffic at the level of...
LA  - eng
PB  - Elsevier
KW  - Internet of things (IoT)
KW  - Network traffic classification
KW  - Intrusion detection system (IDS)
KW  - Transformer
KW  - Self-attention
KW  - Deep learning
KW  - Internet de los objetos
KW  - Internet of things
KW  - Computación ubicua
KW  - Ubiquitous computing
TI  - Transformer-based classification of IoT network traffic with flow-to-window aggregation
DO  - 10.1016/j.iot.2026.101879
T2  - Internet of Things
VL  - 36
M2  - 101879
ER  -