A Central Intrusion Detection System for RPL-Based Industrial Internet of Things
| Autor: | Mikael Gidlund, Ismail Butun, Emre Aydogan, Sevil Sen, Stefan Forsström, Selim Yilmaz |
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| Rok vydání: | 2019 |
| Předmět: |
Routing protocol
business.industry Computer science 020208 electrical & electronic engineering 020206 networking & telecommunications Genetic programming 02 engineering and technology Intrusion detection system Communications system IPv6 0202 electrical engineering electronic engineering information engineering Routing (electronic design automation) Internet of Things business Protocol (object-oriented programming) Computer network |
| Zdroj: | WFCS |
| DOI: | 10.1109/wfcs.2019.8758024 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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