TY - GEN
T1 - ARCADIAN-IoT - enabling autonomous trust, security and privacy management for IoT
AU - Figueiredo, Sérgio
AU - Silva, Paulo
AU - Iacovazzi, Alfonso
AU - Holubenko, Vitalina
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
Y1 - 2023/1/1
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.
AB - 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.
KW - ARCADIAN-IoT
KW - cybersecurity
KW - IoT
KW - trust
UR - https://link.springer.com/chapter/10.1007/978-3-031-20936-9_28
UR - https://globaliotsummit.org/giots-2022-dublin/
U2 - 10.1007/978-3-031-20936-9_28
DO - 10.1007/978-3-031-20936-9_28
M3 - Conference publication
SN - 9783031209352 (pbk)
T3 - Lecture Notes in Computer Science
SP - 348
EP - 359
BT - Internet of Things - 5th The Global IoT Summit, GIoTS 2022, Dublin, Ireland, June 20-23, 2022, Revised Selected Papers
A2 - González-Vidal, Aurora
A2 - Mohamed Abdelgawad, Ahmed
A2 - Sabir, Essaid
A2 - Ziegler, Sébastien
A2 - Ladid, Latif
ER -