ARCADIAN-IoT - Enabling Autonomous Trust, Security and Privacy Management for IoT

Autor: Figueiredo, Sérgio, Silva, Paulo, Iacovazzi, Alfonso, Holubenko, Vitalina, Casal, João, Alcaraz Calero, Jose M., Wang, Qi, Colarejo, Pedro, Armitt, Ross Little, Inches, Giacomo, Raza, Shahid
Rok vydání: 2023
Předmět:
Popis: 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
Databáze: OpenAIRE