Johan Mazel
Johan Mazel
ANSSI
Adresse e-mail validée de ssi.gouv.fr
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Unsupervised network intrusion detection systems: Detecting the unknown without knowledge
P Casas, J Mazel, P Owezarski
Computer Communications 35 (7), 772-783, 2012
2312012
Hashdoop: A MapReduce framework for network anomaly detection
R Fontugne, J Mazel, K Fukuda
2014 IEEE conference on computer communications workshops (INFOCOM WKSHPS …, 2014
622014
Unada: Unsupervised network anomaly detection using sub-space outliers ranking
P Casas, J Mazel, P Owezarski
International Conference on Research in Networking, 40-51, 2011
522011
Sub-space clustering, inter-clustering results association & anomaly correlation for unsupervised network anomaly detection
J Mazel, P Casas, Y Labit, P Owezarski
2011 7th International Conference on Network and Service Management, 1-8, 2011
432011
A taxonomy of anomalies in backbone network traffic
J Mazel, R Fontugne, K Fukuda
2014 international wireless communications and mobile computing conference …, 2014
412014
MINETRAC: Mining flows for unsupervised analysis & semi-supervised classification
P Casas, J Mazel, P Owezarski
2011 23rd International Teletraffic Congress (ITC), 87-94, 2011
332011
Knowledge-independent traffic monitoring: Unsupervised detection of network attacks
P Casas, J Mazel, P Owezarski
IEEE Network 26 (1), 13-21, 2012
312012
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
252015
Steps towards autonomous network security: unsupervised detection of network attacks
P Casas, J Mazel, P Owezarski
2011 4th IFIP International Conference on New Technologies, Mobility and …, 2011
252011
A comparison of web privacy protection techniques
J Mazel, R Garnier, K Fukuda
Computer Communications 144, 162-174, 2019
172019
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
162015
Unsupervised network anomaly detection
J Mazel
INSA de Toulouse, 2011
142011
Random projection and multiscale wavelet leader based anomaly detection and address identification in internet traffic
R Fontugne, P Abry, K Fukuda, P Borgnat, J Mazel, H Wendt, D Veitch
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
132015
Sub-space clustering and evidence accumulation for unsupervised network anomaly detection
J Mazel, P Casas, P Owezarski
International Workshop on Traffic Monitoring and Analysis, 15-28, 2011
132011
Hidden: Hausdorff distance based intrusion detection approach dedicated to networks
Y Labit, J Mazel
2008 The Third International Conference on Internet Monitoring and …, 2008
122008
The minimal dependency relation for causal event ordering in distributed computing
SEP Hernández
Applied Mathematics & Information Sciences 9 (1), pp. 57-61, 2015
92015
Visual comparison of network anomaly detectors with chord diagrams
J Mazel, R Fontugne, K Fukuda
Proceedings of the 29th Annual ACM Symposium on Applied Computing, 473-480, 2014
92014
0day anomaly detection made possible thanks to machine learning
P Owezarski, J Mazel, Y Labit
International Conference on Wired/Wireless Internet Communications, 327-338, 2010
92010
Characterizing CNAME Cloaking-Based Tracking on the Web
H Dao, J Mazel, K Fukuda
IEEE/IFIP TMA’20, 1-9, 2020
62020
Identifying Coordination of Network Scans Using Probed Address Structure.
J Mazel, R Fontugne, K Fukuda
TMA, 2016
62016
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