Please use this identifier to cite or link to this item:
|Title:||A Framework for Measuring the Costs of Security at Runtime||Authors:||Ivkić, Igor
|Keywords:||Cyber-Physical Systems;Internet of Things;Component Monitoring;Task Tracing;Security Cost Modelling||Issue Date:||2019||Publisher:||SCITEPRESS||Source:||In Proceedings of the 9th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, 488-494||Project:||Productive 4.0||Abstract:||In Industry 4.0, Cyber-Physical Systems (CPS) are formed by components, which are interconnected with each other over the Internet of Things (IoT). The resulting capabilities of sensing and affecting the physical world offer a vast range of opportunities, yet, at the same time pose new security challenges. To address these challenges there are various IoT Frameworks, which offer solutions for managing and controlling IoT-components and their interactions. In this regard, providing security for an interaction usually requires performing additional security-related tasks (e.g. authorisation, encryption, etc.) to prevent possible security risks. Research currently focuses more on designing and developing these frameworks and does not satisfactorily provide methodologies for evaluating the resulting costs of providing security. In this paper we propose an initial approach for measuring the resulting costs of providing security for interacting IoT-components by using a Security Cost Modell ing Framework. Furthermore, we describe the necessary building blocks of the framework and provide an experimental design showing how it could be used to measure security costs at runtime.||Description:||9th International Conference on Cloud Computing and Services Science, 2019, Heraklion, Crete, Greece||URI:||http://hdl.handle.net/20.500.11790/1300||ISBN:||978-989-758-365-0||DOI:||10.5220/0007761604880494||Rights:||info:eu-repo/semantics/openAccess|
|Appears in Collections:||Informationstechnologie und Informationsmanagement|
Show full item record
Page view(s) 5391
checked on Dec 4, 2020
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.