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.


Paper accepted at ITC 29

Our paper:

Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark”,

has been accepted within 29th International Teletraffic Congress (ITC 29), 2017.

The present work analyzes whether Anonimity Tools can be discerned/classified by statistical (no packet inspection) classification techniques and, in affirmative case, to which degree.

Paper accepted in Elsevier DSP 2017

Our paper:

D. Ciuonzo and P. Salvo Rossi,  “On the Asymptotic Distribution of Time-Reversal MUSIC Null Spectrum,”

has been accepted for publication in Elsevier Digital Signal Processing.

The present work studies analyzes high-SNR distribution of the Time-Reversal Multiple Signal Classification (TR-MUSIC) spectrum in the case of a co-located multistatic narrowband scenario.

Paper accepted in IEEE TSP 2017

Our paper:

D. Ciuonzo, V. Carotenuto and A. De Maio,   “On Multiple Covariance Equality Testing with Application to SAR Change Detection ”

has been accepted for publication in IEEE Transactions on Signal Processing

The present work proposes a general analysis, supported by invariance theory, of homogeneity among M Gaussian populations, with application to polarimetric Synthetic aperture Radar.

Paper accepted in IEEE SPL 2017

Our paper:

D. Ciuonzo, P. Salvo Rossi and P. Willett,  “Generalized Rao Test for Decentralized Detection of an Uncooperative Target”


has been accepted for publication in IEEE Signal Processing Letters

The present work develops a generalized Rao test for decentralized detection of an uncooperative target through Sensor Networks and proposes a threshold-optimization criterion.