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oai:ebiltegia.mondragon.edu:20.500.11984/11772024-03-04T13:51:13Zcom_20.500.11984_1143col_20.500.11984_1148

Null is Not Always Empty: Monitoring the Null Space for Field-Level Anomaly Detection in Industrial IoT Environments Zugasti, Ekhi Garitano, Iñaki Iturbe, Mikel Zurutuza, Urko anomaly detection Industrial control systems Industrial internet of things Null space 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. 2019-04-03T10:04:51Z 2019-04-03T10:04:51Z 2018 http://purl.org/coar/resource_type/c_c94f 978-1538-66451-3 https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=148614 https://hdl.handle.net/20.500.11984/1177 eng © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works IEEE