Reference : Machine Learning for Reliable Network Attack Detection in SCADA Systems
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Security, Reliability and Trust
http://hdl.handle.net/10993/35719
Machine Learning for Reliable Network Attack Detection in SCADA Systems
English
Lopez Perez, Rocio mailto []
Adamsky, Florian mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Soua, Ridha mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Engel, Thomas mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
2018
17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications (IEEE TrustCom-18)
Yes
International
17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications (IEEE TrustCom 18)
08-2018
New York
USA
[en] SCADA ; Anomaly detection ; Machine learning
http://hdl.handle.net/10993/35719
H2020 ; 700581 - ATENA - Advanced Tools to assEss and mitigate the criticality of ICT compoNents and their dependencies over Critical InfrAstructures

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