Paper Accepted at IEEE/ACM TMA’18

Our paper:

“Mobile Encrypted Traffic ClassificationUsing Deep Learning”,

has been accepted to the next IEEE/ACM Traffic Measurement and Analysis Conference.

The present work proposes the adoption of Deep Learning to classification of mobile traffic. Is that a piece of cake? No! domain expertise still counts 🙂


Paper accepted in JNCA

Our paper:

“Multi-Classification Approaches for Classifying Mobile App Traffic”,

has been accepted within Elsevier Journal of Network and Computer Applications.

The present work proposes a classifier fusion framework for combinining state-of-the-art classifiers (with either hard- or soft-outputs) with the aim of improving performance in recognition of mobile app traffic.