“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 🙂
“Traffic Classification of Mobile Apps through Multi-classification”,
has been accepted within IEEE Global Communications Conference (GLOBECOM), 2017.
The present work proposes a classifier fusion framework for combinining state-of-the-art classifiers with the aim of improving performance in recognition of mobile app traffic.