A Central Intrusion Detection System for RPL-Based Industrial Internet of Things

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@InProceedings{Aydogan:2019:WFCS,

• author = "E. Aydogan and S. Yilmaz and S. Sen and I. Butun and S. Forsstroem and M. Gidlund",
• booktitle = "2019 15th IEEE International Workshop on Factory Communication Systems (WFCS)",
• title = "A Central Intrusion Detection System for {RPL-Based} Industrial Internet of Things",
• year = "2019",
• month = may,
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/WFCS.2019.8758024",
• abstract = "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 use 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.",
• notes = "Also known as \cite{8758024}",

}

Genetic Programming entries for Emre Aydogan Selim Yilmaz Sevil Sen I Butun S Forsstroem M Gidlund

Citations