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ARCADIAN-IoT - Enabling Autonomous Trust, Security and Privacy Management for IoT
Instituto Pedro Nunes, Portugal.
Instituto Pedro Nunes, Portugal; University of Coimbra, Portugal.
RISE Research Institutes of Sweden, Digital Systems, Data Science.ORCID iD: 0000-0001-6116-164X
Instituto Pedro Nunes, Portugal.
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2022 (English)In: Lect. Notes Comput. Sci. 5th The Global IoT Summit, GIoTS 2022. Dublin 20 June 2022 through 23 June 2022, Springer Science and Business Media Deutschland GmbH , 2022, Vol. 13533, p. 348-359Conference paper, Published paper (Refereed)
Abstract [en]

Cybersecurity incidents have been growing both in number and associated impact, as a result from society’s increased dependency in information and communication technologies - accelerated by the recent pandemic. In particular, IoT. technologies, which enable significant flexibility and cost-efficiency, but are also associated to more relaxed security mechanisms, have been quickly adopted across all sectors of the society, including critical infrastructures (e.g. smart grids) and services (e.g. eHealth). Gaps such as high dependence on 3rd party IT suppliers and device manufacturers increase the importance of trustworthy and secure solutions for future digital services. This paper presents ARCADIAN-IoT, a framework aimed at holistically enabling trust, security, privacy and recovery in IoT systems, and enabling a Chain of Trust between the different IoT entities (persons, objects and services). It builds on features such as federated AI for effective and privacy-preserving cybersecurity, distributed ledger technologies for decentralized management of trust, or transparent, user-controllable and decentralized privacy. © 2022, The Author(s)

Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH , 2022. Vol. 13533, p. 348-359
Keywords [en]
ARCADIAN-IoT, Cybersecurity, IoT, Trust, Distributed ledger, Internet of things, Privacy-preserving techniques, Cost-efficiency, Cyber security, Information and Communication Technologies, Privacy management, Security and privacy, Security management, Trust management
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:ri:diva-64111DOI: 10.1007/978-3-031-20936-9_28Scopus ID: 2-s2.0-85147849817ISBN: 9783031209352 (print)OAI: oai:DiVA.org:ri-64111DiVA, id: diva2:1740066
Conference
5th The Global IoT Summit, GIoTS 2022. Dublin 20 June 2022 through 23 June 2022
Available from: 2023-02-28 Created: 2023-02-28 Last updated: 2023-06-08Bibliographically approved

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Iacovazzi, AlfonsoRaza, Shahid

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