Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

Towards the modelling of complex communication networks in AutomationML

: Patzer, Florian; Sarkar, A.; Birnstill, Pascal; Schleipen, M.; Beyerer, Jürgen

Fulltext urn:nbn:de:0011-n-4817030 (598 KByte PDF)
MD5 Fingerprint: e7835edac6357833e0688edd1320c225
© IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Created on: 1.2.2018

Institute of Electrical and Electronics Engineers -IEEE-:
ETFA 2017, 22nd IEEE International Conference on Emerging Technologies and Factory Automation : 12-15 September 2017, Limassol, Cyprus
Piscataway, NJ: IEEE, 2017
ISBN: 978-1-5090-6505-9
ISBN: 978-1-5090-6504-2
ISBN: 978-1-5090-6506-6
8 pp.
International Conference on Emerging Technologies and Factory Automation (ETFA) <22, 2017, Limassol/Cyprus>
Conference Paper, Electronic Publication
Fraunhofer IOSB ()

For several decades production systems were considered as closed and decoupled units, where information and network security has not been an issue. This is changing rapidly, since in the age of smart factories, production systems and office IT are growing together so as to transform entire value chains into interconnected distributed systems. By this means, production systems inherit the security challenges of office IT networks connected over the Internet. Therefore and as they tend to be operated for a much longer period of time, a prospective design of security mechanisms is mandatory. For some time, the design process of production systems gets modernised by the Automation Markup Language (AutomationML, IEC 62714). AutomationML incorporates formats of all engineering phases of production systems, thus allowing engineers to model production systems on various levels of abstraction. The language also provides building blocks for modelling the network infrastructure, which are presented in the AutomationML Communication whitepaper. However, the level of detail that can be captured is currently not sufficient for modelling most network protocols and therefore any network security concept. Therefore, we propose an extension to the AutomationML Communication whitepaper and its best practice recommendations, which allows us to model networks according to the established ISO/OSI model. Using this extension we show that concepts like network separation can be modelled and validated.