J. Mazel

发表

Unsupervised Network Intrusion Detection Systems: Detecting the Unknown without Knowledge

Philippe Owezarski, Pedro Casas, Johan Mazel, 2012, Comput. Commun..

Unsupervised network anomaly detection

J. Mazel, 2011 .

0 day anomaly detection through machine learning

J. Mazel, 2010 .

Experimental Evaluation of To1 D3.3 – Experimental Evaluation of To1 Executive Summary List of Authors List of Figures List of Tables

C. Barakat, P. Casas, J. Mazel, 2022 .

Responsible: TBD

P. Geurts, B. Donnet, C. Barakat, 2011 .

Dynamically Modelling Heterogeneous Higher-Order Interactions for Malicious Behavior Detection in Event Logs

S. Clémençon, J. Mazel, Corentin Larroche, 2021, ArXiv.

Gradient Controlled-BP Algorithm for Effective Intrusion Detection

M. Rajarajan, Weiming Hu, Alina Oprea, 2016 .

Male social scientists: lives after sixty.

J. Mazel, R. Havighurst, W. J. Mcdonald, 1979, The Gerontologist.

BS-3-14 Design of HELIOS, a Network Anomaly Visualization Tool(BS-3. Advanced Networking Technologies for Innovative Information Networks)

Kensuke Fukuda, Matthias Gusenbauer, Johan Mazel, 2016 .

Profiling internet scanners: Spatiotemporal structures and measurement ethics

Kensuke Fukuda, Johan Mazel, Romain Fontugne, 2017, 2017 Network Traffic Measurement and Analysis Conference (TMA).

Characterizing Roles and Spatio-Temporal Relations of C&C Servers in Large-Scale Networks

Kensuke Fukuda, Johan Mazel, Romain Fontugne, 2016 .

ML-based tunnel detection and tunneled application classification

Johan Mazel, Matthieu Saudrais, Antoine Hervieu, 2022, ArXiv.

Random projection and multiscale wavelet leader based anomaly detection and address identification in internet traffic

Kensuke Fukuda, Patrice Abry, Pierre Borgnat, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Percolation-Based Detection of Anomalous Subgraphs in Complex Networks

Stéphan Clémençon, Johan Mazel, Corentin Larroche, 2020, IDA.

Sub-Space clustering, Inter-Clustering Results Association & anomaly correlation for unsupervised network anomaly detection

Philippe Owezarski, Yann Labit, Pedro Casas, 2011, 2011 7th International Conference on Network and Service Management.

UNADA: Unsupervised Network Anomaly Detection Using Sub-space Outliers Ranking

Philippe Owezarski, Pedro Casas, Johan Mazel, 2011, Networking.

Hunting attacks in the dark: clustering and correlation analysis for unsupervised anomaly detection

Philippe Owezarski, Kensuke Fukuda, Pedro Casas, 2015, Int. J. Netw. Manag..

Identifying and characterizing ZMap scans: a cryptanalytic approach pdf

Johan Mazel, R'emi Strullu, J. Mazel, 2019, ArXiv.