Author

Hector A. de la Fuente-Anaya

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Open access Sep 2026

Privacy-Preserving Process Model Discovery Using Fully Homomorphic and Quantum-Safe Encryption

Process mining is a data-driven technique that acts as a bridge between data science and process management. One of its main tasks is enabling the identification of process models from event logs. However, when event logs contain sensitive data or compliance with data protection regulations is required, privacy concern...

H. A. de la Fuente-Anaya, M. Morales-Sandoval, H. Marín-Castro · Machine Learning and Knowled... · 0 citations

Open access 2026

Privacy-Preserving Conformance Checking Using Quantum-Safe Fully Homomorphic Encryption

This paper introduces a novel PPCC method based on post-quantum fully homomorphic encryption that enables token-based replay fitness computation entirely in the encrypted domain using post-quantum FHE, and is the first method that enables token-based replay fitness computation entirely in the encrypted domain using pos...

Hector A. de la Fuente-Anaya, Miguel Morales-Sandoval, H. Marín-Castro · IEEE Access · 0 citations