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Title
Null is Not Always Empty: Monitoring the Null Space for Field-Level Anomaly Detection in Industrial IoT EnvironmentsPublished Date
2018Publisher
IEEEKeywords
anomaly detectionIndustrial control systems
Industrial internet of things
Null space
Abstract
Industrial environments have vastly changed sincethe conception of initial primitive and isolated networks. Thecurrent full interconnection paradigm, where connectivity be-tween different devices and ... [+]
Industrial environments have vastly changed sincethe conception of initial primitive and isolated networks. Thecurrent full interconnection paradigm, where connectivity be-tween different devices and the Internet has become a businessnecessity, has driven device interconnectivity towards buildingthe Industrial Internet of Things (IIoT), enabling added valueservices such as supply chain optimization or improved processcontrol. However, whereas interconnectivity has increased, IIoTsecurity practices has not evolved at the same pace, due partlyto inherited security practices from when industrial networkswhere not connected and the existence of basic hardware withno security functionalities. In this work, we present an AnomalyDetection System for industrial environments that monitorsphysical quantities to detect intrusions. It is based in the nullspace detection, which is at the same time, based on StochasticSubspace Identification (SSI). The approach is validated usingthe Tennessee-Eastman chemical process. [-]
Publisher’s version
http://dx.doi.org/10.1109/GIOTS.2018.8534574ISBN
978-1538-66451-3Published at
2018 Global Internet of Things Summit, GIoTS. Pp. 104-109. IEEE, 2018Document type
Conference paper
Version
Postprint – Accepted Manuscript