%0 Conference Proceedings
%T Secure and Scalable Remote Access Tunnels for the IIoT: An Assessment of openVPN and IPsec Performance
%+ Deutsches Forschungszentrum für Künstliche Intelligenz GmbH = German Research Center for Artificial Intelligence (DFKI)
%A Pohl, Frederic
%A Schotten, Hans, Dieter
%Z Part 3: Security
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 6th European Conference on Service-Oriented and Cloud Computing (ESOCC)
%C Oslo, Norway
%Y Flavio De Paoli
%Y Stefan Schulte
%Y Einar Broch Johnsen
%I Springer International Publishing
%3 Service-Oriented and Cloud Computing
%V LNCS-10465
%P 83-90
%8 2017-09-27
%D 2017
%R 10.1007/978-3-319-67262-5_7
%K Industrial Internet of Things
%K Network security
%K Remote access
%K Virtual Private Networks
%K IPsec
%K openVPN
%Z Computer Science [cs]Conference papers
%X Nowadays, industrial production already benefits from an increased level of interconnection involving various heterogeneous production assets. Future development in the area is likely to lead to a scenario often referred to as the Industrial Internet of Things (IIoT), a promising factor in achieving unseen productivity goals. One of the key IIoT use cases is remote access, which can drastically reduce the requirement for on-site presence of technicians and thus eliminate a large cost factor. In this paper, we present a detailed examination of two widespread Virtual Private Network (VPN) remote access frameworks and analyse their suitability for IIoT remote access facilities. We introduce a cloud architecture that seamlessly integrates with existing highly segmented and firewalled industrial networks, yet providing secure connectivity through the use of openVPN and IPsec technology. With scalability being a key factor for a cloud architecture, we give an analysis of our favoured protocols in order to derive potential performance bottlenecks. We finally verify our assumptions by providing empirical performance measurements.
%G English
%Z TC 2
%Z WG 2.14
%2 https://inria.hal.science/hal-01677607/document
%2 https://inria.hal.science/hal-01677607/file/449571_1_En_7_Chapter.pdf
%L hal-01677607
%U https://inria.hal.science/hal-01677607
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-ESOCC
%~ IFIP-TC2
%~ IFIP-WG2-14
%~ IFIP-LNCS-10465