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Securing future decentralised industrial IoT infrastructures: challenges and free open source solutions
Plaga, Sven; Wiedermann, Norbert; Duque Anton, Simon; Tatschner, Stefan; Schotten, Hans; Newe, Thomas
The full text of this article will not be available in ULIR until the embargo expires on the 13/11/2020 The next industrial revolution is said to be paved by the use of novel Internet of Things (IoT) technology. One important aspect of the modern IoT infrastructures is decentralised communication, often called Peer-to-Peer (P2P). In the context of industrial communication, P2P contributes to resilience and improved stability for industrial components. Current industrial facilities, however, still rely on centralised networking schemes which are considered to be mandatory to comply with security standards. In order to succeed, introduced industrial P2P technology must maintain the current level of protection and also consider possible new threats. The presented work starts with a short analysis of well-established industrial communication infrastructures and how these could benefit from decentralised structures. Subsequently, previously undefined Information Technology (IT) security requirements are derived from the new cloud based decentralised industrial automation model architecture presented in this paper. To meet those requirements, state-of-the-art communication schemes and their open source implementations are presented and assessed for their usability in the context of industrial IoT. Finally, derived building blocks for industrial IoT P2P security are presented which are qualified to comply with the stated industrial IoT security requirements.
Keyword(s): Industrial Internet of Things; cyber security; decentralisation; smart environments; secure communications
Publication Date:
2018
Type: Journal article
Peer-Reviewed: Yes
Language(s): English
Institution: University of Limerick
Funder(s): Science Foundation Ireland
Citation(s): 16RC3918
Future Generation Computer Systems;93, pp. 596-609
https://doi.org/10.1016/j.future.2018.11.008
KIS4ITS0001
16/RC/3918
Publisher(s): Elsevier
First Indexed: 2018-12-12 06:25:08 Last Updated: 2018-12-12 06:25:08