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A Central Intrusion Detection System for RPL-Based Industrial Internet of Things
Hacettepe University, Ankara, Turkey.
Hacettepe University, Ankara, Turkey.
Hacettepe University, Ankara, Turkey.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology. (Communication Systems and Networks (CSN))ORCID iD: 0000-0002-1723-5741
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2019 (English)In: 2019 15th IEEE International Workshop on Factory Communication Systems (WFCS), IEEE, 2019, article id 8758024Conference paper, Published paper (Refereed)
Abstract [en]

Although Internet-of-Things (IoT) is revolutionizing the IT sector, it is not mature yet as several technologies are  still being offered to be candidates for supporting the backbone of this system. IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) is one of those promising candidate technologies to be adopted by IoT and Industrial IoT (IIoT). Attacks against RPL have shown to be possible, as the attackers utilize the unauthorized parent selection system of the RLP protocol. In this work, we are proposing a methodology and architecture to detect intrusions against IIoT. Especially, we are targeting to detect attacks against RPL by using genetic programming. Our results indicate that the developed framework can successfully (with high accuracy, along with high true positive and low false positive rates) detect routing attacks in RPL-based Industrial IoT networks.

Place, publisher, year, edition, pages
IEEE, 2019. article id 8758024
Keywords [en]
Industrial IoT (IIoT), Security, Intusion Detection, RPL Networks
National Category
Communication Systems Computer Engineering
Identifiers
URN: urn:nbn:se:miun:diva-36736DOI: 10.1109/WFCS.2019.8758024Scopus ID: 2-s2.0-85070092698ISBN: 978-1-7281-1268-8 (electronic)OAI: oai:DiVA.org:miun-36736DiVA, id: diva2:1337534
Conference
15th IEEE International Workshop on Factory Communication Systems (WFCS'19), Sundsvall, Sweden, May 27-29, 2019.
Projects
SMARTTIMELINESS
Funder
European Regional Development Fund (ERDF)Knowledge FoundationAvailable from: 2019-07-15 Created: 2019-07-15 Last updated: 2019-08-20Bibliographically approved

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Butun, IsmailForsström, StefanGidlund, Mikael

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
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