Publications

@article{carofilis-vasco_classifying_nodate,

title = {Classifying Screenshots of Industrial Control System Using Transfer Learning and Fine-Tuning},

author = {Andrés Carofilis-Vasco and Pablo Blanco-Medina and Francisco Jáñez-Martino and Guru Swaroop Bennabhaktula and Eduardo Fidalgo and Alejandro Prieto-Castro and Víctor Fidalgo-Villar},

url = {https://buleria.unileon.es/handle/10612/20274},

abstract = {This paper proposes a deep learning pipeline to classify industrial control panel screenshots into IT, OT, and other categories. Using transfer learning on nine pre-trained CNNs, the model is tested on the CRINF-300 dataset. Inception-ResNet-V2 achieves the best F1-score (98.32%), while MobileNet-V1 offers the best speed-performance balance.},

keywords = {deep learning, Fine-tuning, Image classification, Industrial Control Systems, Transfer Learning},

pubstate = {published},

tppubtype = {article}

}