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 🙂

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Paper accepted in IEEE TDSC

Our paper:

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

has been accepted within IEEE Transactions on Dependable and Secure Computing.

The present work delves into classification of encrypted anonymity services. Could the present tools be identified only by looking at some (suitably-designed) statistical features? The response is affirmative, in most cases.

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.

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.

Paper accepted in IEEE TSP 2017

Our paper:

D. Ciuonzo, A. Aubry and V. Carotenuto,  “Rician MIMO Channel- and Jamming-Aware Decision Fusion”

has been accepted for publication in IEEE Transactions on Signal Processing.

The present work analyzes channel-aware DF in a MIMO scenario with a statistical Rician fading and develops rules which are robust to jamming interference.