Johan Mazel

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 14

Top Venues

CoRR

TMA

IWCMC

IEEE Trans. Netw. Serv. Manag.

INSA Toulouse, France (PHD)

Education History

INSA Toulouse, France

PHD

Publications

Johan Mazel, Matthieu Saudrais, Antoine Hervieu
ML-based tunnel detection and tunneled application classification. CoRR (2022)
Ha Dao, Johan Mazel, Kensuke Fukuda
CNAME Cloaking-Based Tracking on the Web: Characterization, Detection, and Protection. IEEE Trans. Netw. Serv. Manag. 18 (3) (2021)
Corentin Larroche, Johan Mazel, Stéphan Clémençon
Anomalous Cluster Detection in Large Networks with Diffusion-Percolation Testing. ESANN (2021)
Corentin Larroche, Johan Mazel, Stéphan Clémençon
Dynamically Modelling Heterogeneous Higher-Order Interactions for Malicious Behavior Detection in Event Logs. CoRR (2021)
Corentin Larroche, Johan Mazel, Stéphan Clémençon
Percolation-Based Detection of Anomalous Subgraphs in Complex Networks. IDA (2020)
Johan Mazel, Rémi Strullu
Identifying and characterizing ZMap scans: a cryptanalytic approach. CoRR (2019)
Johan Mazel, Richard Garnier, Kensuke Fukuda
A comparison of web privacy protection techniques. Comput. Commun. 144 (2019)
Ha Dao, Johan Mazel, Kensuke Fukuda
Understanding abusive web resources: characteristics and counter-measures of malicious web resources and cryptocurrency mining. AINTEC (2018)
Johan Mazel, Richard Garnier, Kensuke Fukuda
A comparison of web privacy protection techniques. CoRR (2017)
Johan Mazel, Romain Fontugne, Kensuke Fukuda
Profiling internet scanners: Spatiotemporal structures and measurement ethics. TMA (2017)
Johan Mazel, Romain Fontugne, Kensuke Fukuda
Identifying Coordination of Network Scans Using Probed Address Structure. TMA (2016)
Romain Fontugne, Johan Mazel, Kensuke Fukuda
An empirical mixture model for large-scale RTT measurements. INFOCOM (2015)
Johan Mazel, Pedro Casas, Romain Fontugne, Kensuke Fukuda, Philippe Owezarski
Hunting attacks in the dark: clustering and correlation analysis for unsupervised anomaly detection. Int. J. Netw. Manag. 25 (5) (2015)
Romain Fontugne, Patrice Abry, Kensuke Fukuda, Pierre Borgnat, Johan Mazel, Herwig Wendt, Darryl Veitch
Random projection and multiscale wavelet leader based anomaly detection and address identification in internet traffic. ICASSP (2015)
Pedro Casas, Johan Mazel, Philippe Owezarski
Coping with 0-day attacks through Unsupervised Network Intrusion Detection. IWCMC (2014)
Johan Mazel, Romain Fontugne, Kensuke Fukuda
Visual comparison of network anomaly detectors with chord diagrams. SAC (2014)
Romain Fontugne, Johan Mazel, Kensuke Fukuda
Hashdoop: A MapReduce framework for network anomaly detection. INFOCOM Workshops (2014)
Johan Mazel, Romain Fontugne, Kensuke Fukuda
A taxonomy of anomalies in backbone network traffic. IWCMC (2014)
Pedro Casas, Johan Mazel, Philippe Owezarski
Knowledge-independent traffic monitoring: Unsupervised detection of network attacks. IEEE Netw. 26 (1) (2012)
Johan Mazel, Hiroshi Esaki, Romain Fontugne, Kensuke Fukuda
Improving an SVD-based combination strategy of anomaly detectors for traffic labelling. AINTEC (2012)
Pedro Casas, Johan Mazel, Philippe Owezarski
Unsupervised Network Intrusion Detection Systems: Detecting the Unknown without Knowledge. Comput. Commun. 35 (7) (2012)
Pedro Casas, Johan Mazel, Philippe Owezarski
On the use of Sub-Space Clustering & Evidence Accumulation for traffic analysis & classification. IWCMC (2011)
Pedro Casas, Johan Mazel, Philippe Owezarski
MINETRAC: Mining flows for unsupervised analysis & semi-supervised classification. International Teletraffic Congress (2011)
Johan Mazel, Pedro Casas, Yann Labit, Philippe Owezarski
Sub-Space clustering, Inter-Clustering Results Association & anomaly correlation for unsupervised network anomaly detection. CNSM (2011)
Pedro Casas, Johan Mazel, Philippe Owezarski
Steps Towards Autonomous Network Security: Unsupervised Detection of Network Attacks. NTMS (2011)
Pedro Casas, Johan Mazel, Philippe Owezarski
UNADA: Unsupervised Network Anomaly Detection Using Sub-space Outliers Ranking. Networking (1) (2011)
Johan Mazel, Pedro Casas, Philippe Owezarski
Sub-Space Clustering and Evidence Accumulation for Unsupervised Network Anomaly Detection. TMA (2011)
Philippe Owezarski, Johan Mazel, Yann Labit
0day Anomaly Detection Made Possible Thanks to Machine Learning. WWIC (2010)

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Publication Activity (10 Years)

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Johan Mazel