| Data traffic monitoring and analysis E Biersack, C Callegari, M Matijasevic Springer Berlin Heidelberg, 2013 | 66 | 2013 |
| Combining wavelet analysis and information theory for network anomaly detection C Callegari, M Pagano, S Giordano, T Pepe Proceedings of the 4th International Symposium on Applied Sciences in …, 2011 | 65 | 2011 |
| Skype‐hunter: A real‐time system for the detection and classification of skype traffic D Adami, C Callegari, S Giordano, M Pagano, T Pepe International Journal of Communication Systems 25 (3), 386-403, 2012 | 58 | 2012 |
| Behavior analysis of TCP Linux variants C Callegari, S Giordano, M Pagano, T Pepe Computer Networks 56 (1), 462-476, 2012 | 57 | 2012 |
| Improving PCA‐based anomaly detection by using multiple time scale analysis and Kullback–Leibler divergence C Callegari, L Gazzarrini, S Giordano, M Pagano, T Pepe International Journal of Communication Systems 27 (10), 1731-1751, 2014 | 45 | 2014 |
| A real-time algorithm for skype traffic detection and classification D Adami, C Callegari, S Giordano, M Pagano, T Pepe Conference on Smart Spaces, 168-179, 2009 | 44 | 2009 |
| A survey of congestion control mechanisms in Linux TCP C Callegari, S Giordano, M Pagano, T Pepe Distributed Computer and Communication Networks: 17th International …, 2014 | 43 | 2014 |
| An information-theoretic method for the detection of anomalies in network traffic C Callegari, S Giordano, M Pagano Computers & Security 70, 351-365, 2017 | 40 | 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 |
| Entropy-based network anomaly detection C Callegari, S Giordano, M Pagano 2017 International Conference on Computing, Networking and Communications …, 2017 | 36 | 2017 |
| Low-Power Artificial Neural Network Perceptron Based on Monolayer MoS2 G Migliato Marega, Z Wang, M Paliy, G Giusi, S Strangio, F Castiglione, ... ACS nano 16 (3), 3684-3694, 2022 | 30 | 2022 |
| DNS‐Class: immediate classification of IP flows using DNS P Foremski, C Callegari, M Pagano International Journal of Network Management 24 (4), 272-288, 2014 | 29 | 2014 |
| A new statistical approach to network anomaly detection C Callegari, S Vaton, M Pagano 2008 International Symposium on Performance Evaluation of Computer and …, 2008 | 29 | 2008 |
| WAVE-CUSUM: Improving CUSUM performance in network anomaly detection by means of wavelet analysis C Callegari, S Giordano, M Pagano, T Pepe computers & security 31 (5), 727-735, 2012 | 28 | 2012 |
| When randomness improves the anomaly detection performance C Callegari, L Gazzarrini, S Giordano, M Pagano, T Pepe 2010 3rd International Symposium on Applied Sciences in Biomedical and …, 2010 | 27 | 2010 |
| G-RDM: a new bandwidth constraints model for DS-TE networks D Adami, C Callegari, S Giordano, M Pagano, M Toninelli IEEE GLOBECOM 2007-IEEE Global Telecommunications Conference, 2472-2476, 2007 | 27 | 2007 |
| Signalling protocols in diffserv-aware MPLS networks: design and implementation of RSVP-TE network simulator D Adami, C Callegari, S Giordano, F Mustacchio, M Pagano, F Vitucci GLOBECOM'05. IEEE Global Telecommunications Conference, 2005. 2, 792-796, 2005 | 26 | 2005 |
| Waterfall: Rapid identification of IP flows using cascade classification P Foremski, C Callegari, M Pagano Computer Networks: 21st International Conference, CN 2014, Brunów, Poland …, 2014 | 25 | 2014 |
| Detecting anomalies in backbone network traffic: a performance comparison among several change detection methods C Callegari, S Giordano, M Pagano, T Pepe International Journal of Sensor Networks 11 (4), 205-214, 2012 | 21 | 2012 |
| Combining sketches and wavelet analysis for multi time-scale network anomaly detection C Callegari, S Giordano, M Pagano, T Pepe Computers & Security 30 (8), 692-704, 2011 | 21 | 2011 |
Gianni AntichiPolitecnico di Milano and Queen Mary University of LondonVerified email at polimi.it
