ARCADIAN-IoT - enabling autonomous trust, security and privacy management for IoT

Sérgio Figueiredo; Paulo Silva; Alfonso Iacovazzi; Vitalina Holubenko; João Casal; Jose M.Alcaraz Calero; Qi Wang; Pedro Colarejo; Ross Little Armitt; Giacomo Inches; Shahid Raza

doi:10.1007/978-3-031-20936-9_28

ARCADIAN-IoT - enabling autonomous trust, security and privacy management for IoT

Sérgio Figueiredo^*, Paulo Silva, Alfonso Iacovazzi, Vitalina Holubenko, João Casal, Jose M.Alcaraz Calero, Qi Wang, Pedro Colarejo, Ross Little Armitt, Giacomo Inches, Shahid Raza

^*Corresponding author for this work

School of Computing, Engineering and Physical Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	Internet of Things - 5th The Global IoT Summit, GIoTS 2022, Revised Selected Papers
Editors	Aurora González-Vidal, Ahmed Mohamed Abdelgawad, Essaid Sabir, Sébastien Ziegler, Latif Ladid
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	348-359
Number of pages	12
ISBN (Electronic)	9783031209369
ISBN (Print)	9783031209352
DOIs	https://doi.org/10.1007/978-3-031-20936-9_28
Publication status	Published - 1 Jan 2023
Event	GIoTS 2022 - Dublin, Ireland Duration: 20 Jun 2022 → 23 Jun 2022 https://globaliotsummit.org/giots-2022-dublin/

Publication series

Name	Lecture Notes in Computer Science
Volume	13533
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	GIoTS 2022
Country/Territory	Ireland
City	Dublin
Period	20/06/22 → 23/06/22
Internet address	https://globaliotsummit.org/giots-2022-dublin/

Keywords

ARCADIAN-IoT
cybersecurity
IoT
trust

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-031-20936-9_28

Cite this

Figueiredo, S., Silva, P., Iacovazzi, A., Holubenko, V., Casal, J., Calero, J. M. A., Wang, Q., Colarejo, P., Armitt, R. L., Inches, G., & Raza, S. (2023). ARCADIAN-IoT - enabling autonomous trust, security and privacy management for IoT. In A. González-Vidal, A. Mohamed Abdelgawad, E. Sabir, S. Ziegler, & L. Ladid (Eds.), Internet of Things - 5th The Global IoT Summit, GIoTS 2022, Revised Selected Papers (pp. 348-359). (Lecture Notes in Computer Science; Vol. 13533). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-20936-9_28

Figueiredo, Sérgio ; Silva, Paulo ; Iacovazzi, Alfonso et al. / ARCADIAN-IoT - enabling autonomous trust, security and privacy management for IoT. Internet of Things - 5th The Global IoT Summit, GIoTS 2022, Revised Selected Papers. editor / Aurora González-Vidal ; Ahmed Mohamed Abdelgawad ; Essaid Sabir ; Sébastien Ziegler ; Latif Ladid. Springer Science and Business Media Deutschland GmbH, 2023. pp. 348-359 (Lecture Notes in Computer Science).

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abstract = "Cybersecurity incidents have been growing both in number and associated impact, as a result from society{\textquoteright}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.",

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booktitle = "Internet of Things - 5th The Global IoT Summit, GIoTS 2022, Revised Selected Papers",

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Figueiredo, S, Silva, P, Iacovazzi, A, Holubenko, V, Casal, J, Calero, JMA , Wang, Q, Colarejo, P, Armitt, RL, Inches, G & Raza, S 2023, ARCADIAN-IoT - enabling autonomous trust, security and privacy management for IoT. in A González-Vidal, A Mohamed Abdelgawad, E Sabir, S Ziegler & L Ladid (eds), Internet of Things - 5th The Global IoT Summit, GIoTS 2022, Revised Selected Papers. Lecture Notes in Computer Science, vol. 13533, Springer Science and Business Media Deutschland GmbH, pp. 348-359, GIoTS 2022, Dublin, Ireland, 20/06/22. https://doi.org/10.1007/978-3-031-20936-9_28

ARCADIAN-IoT - enabling autonomous trust, security and privacy management for IoT. / Figueiredo, Sérgio; Silva, Paulo; Iacovazzi, Alfonso et al.

Internet of Things - 5th The Global IoT Summit, GIoTS 2022, Revised Selected Papers. ed. / Aurora González-Vidal; Ahmed Mohamed Abdelgawad; Essaid Sabir; Sébastien Ziegler; Latif Ladid. Springer Science and Business Media Deutschland GmbH, 2023. p. 348-359 (Lecture Notes in Computer Science; Vol. 13533).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Figueiredo, Sérgio

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AU - Iacovazzi, Alfonso

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AU - Casal, João

AU - Calero, Jose M.Alcaraz

AU - Wang, Qi

AU - Colarejo, Pedro

AU - Armitt, Ross Little

AU - Inches, Giacomo

AU - Raza, Shahid

PY - 2023/1/1

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N2 - 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.

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Figueiredo S, Silva P, Iacovazzi A, Holubenko V, Casal J, Calero JMA et al. ARCADIAN-IoT - enabling autonomous trust, security and privacy management for IoT. In González-Vidal A, Mohamed Abdelgawad A, Sabir E, Ziegler S, Ladid L, editors, Internet of Things - 5th The Global IoT Summit, GIoTS 2022, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2023. p. 348-359. (Lecture Notes in Computer Science). doi: 10.1007/978-3-031-20936-9_28