Security & Privacy

Security and Privacy underpin trust in a connected, data-driven world. This research line investigates cryptographic systems, blockchain technologies, and privacy-preserving computation to ensure secure and transparent data handling. At IE, researchers explore both theoretical models and applied frameworks that enable individuals, organizations, and intelligent systems to function safely and reliably in digital environments.

Building secure systems requires balancing openness with protection. Cryptography ensures confidentiality and authentication, while blockchain enables decentralization and verifiable record-keeping. Emerging methods such as homomorphic encryption and federated learning make it possible to analyze data without compromising privacy. As digital infrastructures and AI systems grow more autonomous, research in security and privacy at IE focuses on protecting not just information, but the integrity and accountability of intelligent decision-making itself.