Decentralized identity for IoT
Study and prototyping of identity solutions based on Decentralized Identifiers (DIDs) and Verifiable Credentials (VCs) applied to IoT ecosystems, for secure device authentication and authorization.
Research, academic projects and experiments.
Study and prototyping of identity solutions based on Decentralized Identifiers (DIDs) and Verifiable Credentials (VCs) applied to IoT ecosystems, for secure device authentication and authorization.
Development and evaluation of osMUD-based frameworks for enforcing Manufacturer Usage Description policies, with the goal of automating network-level access control for IoT devices.
A monitoring and analysis system for group dynamics, capable of simulating corporate teams and detecting critical indicators of workplace well-being. Implemented in Python on top of the CrewAI framework, using autonomous agents and external API integration to extract behavioural and sentiment signals.
Bachelor's thesis on access control management for smart contracts on the IOTA platform.