Paper Info
Title
A Central Intrusion Detection System for RPL-Based Industrial Internet of Things
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 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.
Year
DOI
Venue
2019
10.1109/WFCS.2019.8758024
2019 15th IEEE International Workshop on Factory Communication Systems (WFCS)
Keywords
Field
DocType
RPL attacks,security,intrusion detection,IoT,genetic programming
IPv6,Architecture,Lossy compression,Computer science,Internet of Things,Computer network,Genetic programming,Industrial Internet,Intrusion detection system,Routing protocol
Conference
ISBN
Citations 
PageRank 
978-1-7281-1269-5
0
0.34
References 
Authors
9
6
Name
Order
Citations
PageRank
Emre Aydogan181.17
Selim Yilmaz200.34
Sevil Sen383.20
Butun, Ismail4203.27
Stefan Forsström5328.45
Mikael Gidlund652352.95