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Poster communications

Generation and Assessment of correlation rules to Detect Complex Attack Scenarios

Erwan Godefroy 1, 2 Eric Totel 2 Michel Hurfin 2 Frédéric Majorczyk 2, 1
1 DGA.MI - DGA Maîtrise de l'information
2 CIDRE - Confidentialité, Intégrité, Disponibilité et Répartition
CentraleSupélec, Inria Rennes – Bretagne Atlantique , IRISA-D1 - SYSTÈMES LARGE ÉCHELLE
Document type :
Poster communications
Complete list of metadata
https://hal.inria.fr/hal-01241813
Contributor : Eric Totel Connect in order to contact the contributor
Submitted on : Friday, December 11, 2015 - 9:11:02 AM
Last modification on : Tuesday, October 19, 2021 - 11:58:56 PM

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  • HAL Id : hal-01241813, version 1

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CENTRALESUPELEC | SUP_CIDRE | CNRS | UNIV-RENNES1 | INRIA | IRISA | UR1-MATH-STIC | UR1-UFR-ISTIC | UNIV-RENNES | IRISA-D1 | INSTITUT-TELECOM | INSA-RENNES | UR1-MATH-NUM

Citation

Erwan Godefroy, Eric Totel, Michel Hurfin, Frédéric Majorczyk. Generation and Assessment of correlation rules to Detect Complex Attack Scenarios. IEEE Conference on Communications and Network Security (CNS 2015), Sep 2015, Florence, Italy. Proceedings of the IEEE Conference on Communications and Network Security, 2015. ⟨hal-01241813⟩

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