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.

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Paper accepted at Globecom 2017

Our paper:

“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.