“TECNALIA submitted three scientific articles and one extended abstract”
19th Spanish Conference on Cryptology and Information Security, RECSI 2026, organised by the University of La Laguna, is one of the most important scientific meetings in Spain on cybersecurity and cryptography
TECNALIA played a particularly active role, thanks to various scientific contributions in strategic areas such as cybersecurity, post-quantum cryptography, artificial intelligence and blockchain.
We submitted three scientific articles and an extended abstract. We also chaired a session and our colleague Iván Gutiérrez Agüero appeared on RNE’s programme Doble Hélice 3.0. These contributions strengthen our commitment to generating knowledge that boosts the competitiveness of businesses and institutions.
Research findings presented
At this year's conference, we presented contributions dealing with key challenges for the future of digital security:
- Julen Bernabé: “FHE in anomaly detection: applying encryption to the evaluation of AI models” and “Multi-Solution Grover Search on Small Reversible Hash Functions: Simulation and Noisy Quantum Hardware Experiments".
- Idoia Gamiz: “M3Suite: A Private, Modular, Usable Federated Learning Platform”.
- Santiago de Diego: “Decentralised Digital Product Passport Building Blocks for Enhancing Supply Chain Sovereignty and Circular Economy Practices”.
An award recognising innovation in federated learning
Idoia Gamiz's presentation, based on her thesis “M3Suite: A Private, Modular, Usable Federated Learning Platform”, received an award during the conference. The paper proposes moving towards trusted federated learning that is capable of integrating privacy, robustness, fairness, explainability and accountability.
- The research introduces PRoT-FL, a training manager that coordinates multiple processes using a private training protocol and a public blockchain network that increases traceability.
- The results showed improvements in attack mitigation, the flexible selection of robust aggregation rules and process transparency, which are key aspects for companies and institutions that need more secure, accountable artificial intelligence systems.