Title: Resilience assessment of internet of things : a case study on smart buildings
Authors : Mock, Ralf Günter
Lopez de Obeso, Luis
Zipper, Christian
Schönenberger, Micha
Proceedings: Risk, reliability and safety : innovating theory and practice
Pages : 2260
Pages to: 2267
Conference details: 26th European Safety and Reliability Conference ESREL 2016, Glasgow, UK, 25-29 September 2016
Publisher / Ed. Institution : Taylor & Francis
Publisher / Ed. Institution: London
Issue Date: 2017
License (according to publishing contract) : Licence according to publishing contract
Type of review: Peer review (Publication)
Language : English
Subjects : Resilience; Smart building; Internet of things; Risk assessment
Subject (DDC) : 004: Computer science
Abstract: Best Practices of risk assessment techniques are currently challenged at two fronts: On one hand, technical systems are turning into vast and complex entities, when processes become highly automated as highlighted by keywords such as Industry 4.0, Internet of Things (IoT) or Smart Buildings. On the other hand, there are new requirements on risk analysis goals aiming towards socio-technological views, i.e. fromrisk to resilience analyses. R&D projects at the Zurich University of Applied Sciences (ZHAW) target to merge both challenges in order to draw a profit in methodological enhancements and practicability of approaches. FRAM (Functional Resonance Analysis Method) is an emergent approach in resilience analysis of complex socio-technical systems. However, a link to analyse risks and quantitative risk assessment is missing. The paper lays methodological foundations for a rule-based concept of a coupled FRAM-FMEA (Failure Mode and Effects Analysis) approach as well as combining FMEA with common approaches in IT security risk assessment (Use Cases, MEHARI). Two case studies on Smart Buildings illustrate the practicability of the concepts. A literature survey justifies the current propagation of FRAM. The paper addresses relationships of resilience and other system analysis concepts (risk, reliability, Unified Modeling Language). The pros and cons of the combined approaches are discussed.
Departement: School of Engineering
Organisational Unit: Institute of Applied Information Technology (InIT)
Publication type: Conference Paper
ISBN: 978-1-138-02997-2
978-1-315-37498-7
URI: https://digitalcollection.zhaw.ch/handle/11475/13291
Appears in Collections:Publikationen School of Engineering

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