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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)


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 languageEnglish
Title of host publicationInternet of Things - 5th The Global IoT Summit, GIoTS 2022, Revised Selected Papers
EditorsAurora González-Vidal, Ahmed Mohamed Abdelgawad, Essaid Sabir, Sébastien Ziegler, Latif Ladid
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages12
ISBN (Electronic)9783031209369
ISBN (Print)9783031209352
Publication statusPublished - 1 Jan 2023
EventGIoTS 2022 - Dublin, Ireland
Duration: 20 Jun 202223 Jun 2022

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceGIoTS 2022
Internet address


  • cybersecurity
  • IoT
  • trust


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