| The logarithmic nature of QoE and the role of the Weber-Fechner law in QoE assessment P Reichl, S Egger, R Schatz, A D'Alconzo 2010 IEEE International Conference on Communications, 1-5, 2010 | 357 | 2010 |
| A survey on big data for network traffic monitoring and analysis A D’Alconzo, I Drago, A Morichetta, M Mellia, P Casas IEEE Transactions on Network and Service Management 16 (3), 800-813, 2019 | 167 | 2019 |
| Predicting QoE in cellular networks using machine learning and in-smartphone measurements P Casas, A D'Alconzo, F Wamser, M Seufert, B Gardlo, A Schwind, ... 2017 Ninth International Conference on Quality of Multimedia Experience …, 2017 | 113 | 2017 |
| Exploiting cellular networks for road traffic estimation: A survey and a research roadmap D Valerio, A D'Alconzo, F Ricciato, W Wiedermann VTC Spring 2009-IEEE 69th Vehicular Technology Conference, 1-5, 2009 | 93 | 2009 |
| When YouTube doesn't Work - Analysis of QoE-relevant Degradation in Google CDN Traffic P Casas, A D'Alconzo, P Fiadino, A Bar, A Finamore, T Zseby Transactions on Network and Service Management, 0 | 90* | |
| A review of DoS attack models for 3G cellular networks from a system-design perspective F Ricciato, A Coluccia, A D’Alconzo Computer Communications 33 (5), 551-558, 2010 | 79 | 2010 |
| A distribution-based approach to anomaly detection and application to 3G mobile traffic A D'Alconzo, A Coluccia, F Ricciato, P Romirer-Maierhofer GLOBECOM 2009-2009 IEEE Global Telecommunications Conference, 1-8, 2009 | 70 | 2009 |
| Data traffic monitoring and analysis E Biersack, C Callegari, M Matijasevic Springer Berlin Heidelberg, 2013 | 66 | 2013 |
| Machine-Learning Based Approaches for Anomaly Detection and Classification in Cellular Networks P Casas, P Fiadino, A D'Alconzo 8th Traffic Monitoring and Analysis (TMA2016) Workshop, Louvain La Neuve …, 2016 | 63 | 2016 |
| Network security and anomaly detection with Big-DAMA, a big data analytics framework P Casas, F Soro, J Vanerio, G Settanni, A D'Alconzo 2017 IEEE 6th international conference on cloud networking (CloudNet), 1-7, 2017 | 59 | 2017 |
| On the ground truth problem of malicious DNS traffic analysis M Stevanovic, JM Pedersen, A D'Alconzo, S Ruehrup, A Berger Computers & Security, 2015 | 57 | 2015 |
| Network-wide measurements of TCP RTT in 3G P Romirer-Maierhofer, F Ricciato, A D’Alconzo, R Franzan, W Karner International Workshop on Traffic Monitoring and Analysis, 17-25, 2009 | 54 | 2009 |
| Distribution-based anomaly detection via generalized likelihood ratio test: A general maximum entropy approach A Coluccia, A D’Alconzo, F Ricciato Computer Networks 57 (17), 3446-3462, 2013 | 47 | 2013 |
| Drop call probability in established cellular networks: from data analysis to modelling G Boggia, P Camarda, A D'alconzo, A De Biasi, M Siviero 2005 IEEE 61st Vehicular Technology Conference 5, 2775-2779, 2005 | 47 | 2005 |
| Mining agile DNS traffic using graph analysis for cybercrime detection A Berger, A D’Alconzo, WN Gansterer, A Pescapé Computer Networks 100, 28-44, 2016 | 43 | 2016 |
| DBStream: A holistic approach to large-scale network traffic monitoring and analysis A Baer, P Casas, A D’Alconzo, P Fiadino, L Golab, M Mellia, E Schikuta Computer Networks 107, 5-19, 2016 | 41 | 2016 |
| Big-DAMA: big data analytics for network traffic monitoring and analysis P Casas, A D'Alconzo, T Zseby, M Mellia Proceedings of the 2016 workshop on Fostering Latin-American Research in …, 2016 | 41 | 2016 |
| Modeling of call dropping in well-established cellular networks G Boggia, P Camarda, A D'alconzo EURASIP Journal on Wireless Communications and Networking 2007, 1, 2007 | 41 | 2007 |
| A method for identifying compromised clients based on DNS traffic analysis M Stevanovic, JM Pedersen, A D’Alconzo, S Ruehrup International Journal of Information Security 16, 115-132, 2017 | 39 | 2017 |
| A methodological overview on anomaly detection C Callegari, A Coluccia, A D’Alconzo, W Ellens, S Giordano, M Mandjes, ... Data Traffic Monitoring and Analysis: From Measurement, Classification, and …, 2013 | 39 | 2013 |
Pedro CasasSenior Scientist, Data Science & AI @AIT ViennaBestätigte E-Mail-Adresse bei ait.ac.at
