Johan Mazel

Matthieu Saudrais

Antoine Hervieu

CoRR, 2022

2021

CNAME Cloaking-Based Tracking on the Web: Characterization, Detection, and Protection.

[BibT_eX]

[DOI]

Ha Dao

IEEE Trans. Netw. Serv. Manag., 2021

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

[BibT_eX]

[DOI]

Corentin Larroche

Stéphan Clémençon

CoRR, 2021

Anomalous Cluster Detection in Large Networks with Diffusion-Percolation Testing.

[BibT_eX]

[DOI]

Corentin Larroche

Stéphan Clémençon

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020

Percolation-Based Detection of Anomalous Subgraphs in Complex Networks.

[BibT_eX]

[DOI]

Corentin Larroche

Stéphan Clémençon

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

2019

Identifying and characterizing ZMap scans: a cryptanalytic approach.

[BibT_eX]

[DOI]

Rémi Strullu

CoRR, 2019

A comparison of web privacy protection techniques.

[BibT_eX]

[DOI]

Richard Garnier

Comput. Commun., 2019

2018

Understanding abusive web resources: characteristics and counter-measures of malicious web resources and cryptocurrency mining.

[BibT_eX]

[DOI]

Ha Dao

Proceedings of the Asian Internet Engineering Conference, 2018

2017

Profiling internet scanners: Spatiotemporal structures and measurement ethics.

[BibT_eX]

[DOI]

Proceedings of the Network Traffic Measurement and Analysis Conference, 2017

2016

Identifying Coordination of Network Scans Using Probed Address Structure.

[BibT_eX]

[DOI]

Proceedings of the Traffic Monitoring and Analysis - 8th International Workshop, 2016

2015

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

[BibT_eX]

[DOI]

Int. J. Netw. Manag., 2015

An empirical mixture model for large-scale RTT measurements.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

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

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Visual comparison of network anomaly detectors with chord diagrams.

[BibT_eX]

[DOI]

Proceedings of the Symposium on Applied Computing, 2014

A taxonomy of anomalies in backbone network traffic.

[BibT_eX]

[DOI]

Proceedings of the International Wireless Communications and Mobile Computing Conference, 2014

Coping with 0-day attacks through Unsupervised Network Intrusion Detection.

[BibT_eX]

[DOI]

Proceedings of the International Wireless Communications and Mobile Computing Conference, 2014

Hashdoop: A MapReduce framework for network anomaly detection.

[BibT_eX]

[DOI]

Proceedings of the 2014 Proceedings IEEE INFOCOM Workshops, Toronto, ON, Canada, April 27, 2014

2012

Knowledge-independent traffic monitoring: Unsupervised detection of network attacks.

[BibT_eX]

[DOI]

IEEE Netw., 2012

Unsupervised Network Intrusion Detection Systems: Detecting the Unknown without Knowledge.

[BibT_eX]

[DOI]

Comput. Commun., 2012

Improving an SVD-based combination strategy of anomaly detectors for traffic labelling.

[BibT_eX]

[DOI]

Proceedings of the Asian Internet Engineering Conference, 2012

2011

Unsupervised network anomaly detection. (Détection non supervisée d'anomalies dans les réseaux de communication).

[BibT_eX]

[DOI]

PhD thesis, 2011

Sub-Space Clustering and Evidence Accumulation for Unsupervised Network Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Traffic Monitoring and Analysis - Third International Workshop, 2011

MINETRAC: Mining flows for unsupervised analysis & semi-supervised classification.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Teletraffic Congress, 2011

Steps Towards Autonomous Network Security: Unsupervised Detection of Network Attacks.

[BibT_eX]

[DOI]

Proceedings of the 4th IFIP International Conference on New Technologies, 2011

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

[BibT_eX]

[DOI]

Proceedings of the NETWORKING 2011, 2011

On the use of Sub-Space Clustering & Evidence Accumulation for traffic analysis & classification.

[BibT_eX]

[DOI]

Proceedings of the 7th International Wireless Communications and Mobile Computing Conference, 2011

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

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Network and Service Management, 2011

2010

0day Anomaly Detection Made Possible Thanks to Machine Learning.

[BibT_eX]

[DOI]