| Mawilab: combining diverse anomaly detectors for automated anomaly labeling and performance benchmarking R Fontugne, P Borgnat, P Abry, K Fukuda Proceedings of the 6th International COnference, 1-12, 2010 | 438 | 2010 |
| Strip, bind, and search: a method for identifying abnormal energy consumption in buildings R Fontugne, J Ortiz, N Tremblay, P Borgnat, P Flandrin, K Fukuda, ... Proceedings of the 12th international conference on Information processing …, 2013 | 114 | 2013 |
| BGP hijacking classification S Cho, R Fontugne, K Cho, A Dainotti, P Gill 2019 Network Traffic Measurement and Analysis Conference (TMA), 25-32, 2019 | 111 | 2019 |
| Scaling in internet traffic: a 14 year and 3 day longitudinal study, with multiscale analyses and random projections R Fontugne, P Abry, K Fukuda, D Veitch, K Cho, P Borgnat, H Wendt IEEE/ACM Transactions on Networking 25 (4), 2152-2165, 2017 | 98 | 2017 |
| Hashdoop: A MapReduce framework for network anomaly detection R Fontugne, J Mazel, K Fukuda 2014 IEEE conference on computer communications workshops (INFOCOM WKSHPS …, 2014 | 79 | 2014 |
| A taxonomy of anomalies in backbone network traffic J Mazel, R Fontugne, K Fukuda 2014 international wireless communications and mobile computing conference …, 2014 | 59 | 2014 |
| ADMIRE: Anomaly detection method using entropy-based PCA with three-step sketches Y Kanda, R Fontugne, K Fukuda, T Sugawara Computer Communications 36 (5), 575-588, 2013 | 59 | 2013 |
| Pinpointing delay and forwarding anomalies using large-scale traceroute measurements R Fontugne, C Pelsser, E Aben, R Bush Proceedings of the 2017 Internet Measurement Conference, 15-28, 2017 | 57 | 2017 |
| Unsupervised host behavior classification from connection patterns G Dewaele, Y Himura, P Borgnat, K Fukuda, P Abry, O Michel, ... International Journal of Network Management 20 (5), 317-337, 2010 | 56 | 2010 |
| The (thin) bridges of AS connectivity: Measuring dependency using AS hegemony R Fontugne, A Shah, E Aben International Conference on Passive and Active Network Measurement, 216-227, 2018 | 46 | 2018 |
| A Hough-transform-based anomaly detector with an adaptive time interval R Fontugne, K Fukuda ACM SIGAPP Applied Computing Review 11 (3), 41-51, 2011 | 44 | 2011 |
| Hunting attacks in the dark: clustering and correlation analysis for unsupervised anomaly detection J Mazel, P Casas, R Fontugne, K Fukuda, P Owezarski International Journal of Network Management 25 (5), 283-305, 2015 | 42 | 2015 |
| Disco: Fast, good, and cheap outage detection A Shah, R Fontugne, E Aben, C Pelsser, R Bush 2017 Network Traffic Measurement and Analysis Conference (TMA), 1-9, 2017 | 40 | 2017 |
| Chocolatine: Outage detection for internet background radiation A Guillot, R Fontugne, P Winter, P Merindol, A King, A Dainotti, C Pelsser 2019 Network Traffic Measurement and Analysis Conference (TMA), 1-8, 2019 | 36 | 2019 |
| Untangling the world-wide mesh of undersea cables ZS Bischof, R Fontugne, FE Bustamante Proceedings of the 17th ACM Workshop on Hot Topics in Networks, 78-84, 2018 | 36 | 2018 |
| Monitoring TLS adoption using backbone and edge traffic C Chan, R Fontugne, K Cho, S Goto IEEE INFOCOM 2018-IEEE Conference on Computer Communications Workshops …, 2018 | 36 | 2018 |
| Online empirical mode decomposition R Fontugne, P Borgnat, P Flandrin 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 35 | 2017 |
| Persistent last-mile congestion: not so uncommon R Fontugne, A Shah, K Cho Proceedings of the ACM internet measurement conference, 420-427, 2020 | 32 | 2020 |
| An image processing approach to traffic anomaly detection R Fontugne, T Hirotsu, K Fukuda Proceedings of the 4th Asian Conference on Internet Engineering, 17-26, 2008 | 32 | 2008 |
| An empirical mixture model for large-scale RTT measurements R Fontugne, J Mazel, K Fukuda 2015 IEEE Conference on Computer Communications (INFOCOM), 2470-2478, 2015 | 31 | 2015 |
Kensuke FukudaNational Institute of InformaticsE-mail confirmado em nii.ac.jp