Projects
Architectures designed to secure data, interactions and decisions across distributed industrial environments.
Vision
My projects explore different dimensions of trust in digital industrial systems. From data integrity to decision governance and distributed artificial intelligence, each project addresses a specific scientific challenge while contributing to a common vision: building secure, resilient and verifiable industrial systems.
TwinIpfsChain explores the protection of real-time data integrity in industrial digital twins. The architecture combines blockchain and distributed storage to associate industrial data with verifiable cryptographic evidence and detect alterations affecting its integrity.
SecDT proposes a secure and decentralized architecture for industrial digital twin management. The approach combines permissioned blockchain, distributed storage and access-control mechanisms to strengthen security, traceability and data governance across multi-organizational environments.
This project investigates how industrial organizations can share data while preserving their own access, governance and security policies. The architecture combines distributed trust mechanisms with an integration layer designed to connect heterogeneous industrial systems.
Associated Publications
This project investigates how to preserve a verifiable relationship between a digital twin state, decision context, executed action and associated evidence. The objective is to enable industrial decisions to be reconstructed and audited while separating local execution from the distributed evidence path.
TRACES-DT explores cyber response when the state of a digital twin may itself be compromised. The project combines intelligent agents, distributed validation and trust mechanisms to reduce the risk of critical actions being triggered from unreliable industrial information.
TrustGov-FLIDS investigates the security of federated learning-based intrusion detection systems. The project focuses on improving trust in participant contributions, aggregation robustness and the traceability of governance decisions affecting the global model.
Field
An applied research project in which I contribute to the cybersecurity and evolution of a digital platform's backend architecture. The work includes security by design, authentication, access control, data-flow protection and application architecture evolution.
Applied research work focused on assessing the cybersecurity posture of industrial organizations. This field experience provided insight into infrastructure security, access control, data protection, incident response and cyber resilience under real operational conditions.
