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Machine Learning for Reliable Network Attack Detection in SCADA Systems
Lopez Perez, Rocio; Adamsky, Florian; Soua, Ridha et al.
2018In 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications (IEEE TrustCom-18)
Peer reviewed
 

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Keywords :
SCADA; Anomaly detection; Machine learning
Disciplines :
Computer science
Author, co-author :
Lopez Perez, Rocio
Adamsky, Florian ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Soua, Ridha ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Engel, Thomas ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
yes
Language :
English
Title :
Machine Learning for Reliable Network Attack Detection in SCADA Systems
Publication date :
2018
Event name :
17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications (IEEE TrustCom 18)
Event place :
New York, United States
Event date :
08-2018
Audience :
International
Main work title :
17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications (IEEE TrustCom-18)
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
European Projects :
H2020 - 700581 - ATENA - Advanced Tools to assEss and mitigate the criticality of ICT compoNents and their dependencies over Critical InfrAstructures
Funders :
CE - Commission Européenne [BE]
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since 17 May 2018

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