synERGY: Cross-correlation of operational and contextual data to timely detect and mitigate attacks to cyber-physical systems

Florian Skopik; Max Landauer; Markus Wurzenberger; Gernot Vormayr; Jelena Milosevic; Joachim Fabini; Wolfgang Prüggler; Oskar Kruschitz; Benjamin Widmann; Kevin Truckenthanner; Stefan Rasse; Michael Simmer; Christoph Zauner

doi:10.1016/j.jisa.2020.102544

synERGY: Cross-correlation of operational and contextual data to timely detect and mitigate attacks to cyber-physical systems

Florian Skopik, Max Landauer, Markus Wurzenberger, Gernot Vormayr, Jelena Milosevic, Joachim Fabini, Wolfgang Prüggler, Oskar Kruschitz, Benjamin Widmann, Kevin Truckenthanner, Stefan Rasse, Michael Simmer, Christoph Zauner

Security & Communication Technologies

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	1-23
Number of pages	23
Journal	Journal of Information Security and Applications
Volume	54
DOIs	https://doi.org/10.1016/j.jisa.2020.102544
Publication status	Published - 2020

Research Field

Cyber Security

Access to Document

10.1016/j.jisa.2020.102544Licence: Unspecified

Cite this

Skopik, F., Landauer, M., Wurzenberger, M., Vormayr, G., Milosevic, J., Fabini, J., Prüggler, W., Kruschitz, O., Widmann, B., Truckenthanner, K., Rasse, S., Simmer, M., & Zauner, C. (2020). synERGY: Cross-correlation of operational and contextual data to timely detect and mitigate attacks to cyber-physical systems. Journal of Information Security and Applications, 54, 1-23. https://doi.org/10.1016/j.jisa.2020.102544

@article{5acd68ddc4104ccd81dd17e47a4fcd83,

title = "synERGY: Cross-correlation of operational and contextual data to timely detect and mitigate attacks to cyber-physical systems",

author = "Florian Skopik and Max Landauer and Markus Wurzenberger and Gernot Vormayr and Jelena Milosevic and Joachim Fabini and Wolfgang Pr{\"u}ggler and Oskar Kruschitz and Benjamin Widmann and Kevin Truckenthanner and Stefan Rasse and Michael Simmer and Christoph Zauner",

year = "2020",

doi = "10.1016/j.jisa.2020.102544",

language = "English",

volume = "54",

pages = "1--23",

journal = "Journal of Information Security and Applications",

issn = "2214-2134",

publisher = "Elsevier Ltd.",

}

Skopik, F , Landauer, M , Wurzenberger, M, Vormayr, G, Milosevic, J, Fabini, J, Prüggler, W, Kruschitz, O, Widmann, B, Truckenthanner, K, Rasse, S, Simmer, M & Zauner, C 2020, 'synERGY: Cross-correlation of operational and contextual data to timely detect and mitigate attacks to cyber-physical systems', Journal of Information Security and Applications, vol. 54, pp. 1-23. https://doi.org/10.1016/j.jisa.2020.102544

TY - JOUR

T1 - synERGY: Cross-correlation of operational and contextual data to timely detect and mitigate attacks to cyber-physical systems

AU - Skopik, Florian

AU - Landauer, Max

AU - Wurzenberger, Markus

AU - Vormayr, Gernot

AU - Milosevic, Jelena

AU - Fabini, Joachim

AU - Prüggler, Wolfgang

AU - Kruschitz, Oskar

AU - Widmann, Benjamin

AU - Truckenthanner, Kevin

AU - Rasse, Stefan

AU - Simmer, Michael

AU - Zauner, Christoph

PY - 2020

Y1 - 2020

U2 - 10.1016/j.jisa.2020.102544

DO - 10.1016/j.jisa.2020.102544

M3 - Article

SN - 2214-2134

VL - 54

SP - 1

EP - 23

JO - Journal of Information Security and Applications

JF - Journal of Information Security and Applications

ER -