Application of Homomorphic Encryption for a Secure-by-Design Approach to Protect the Confidentiality of Data in Proficiency Testing and Interlaboratory Comparisons

Read full text
Authors: Davor Vinko, Mirko Köhler, Kruno Miličević, Ivica Lukić
Cited by: 1
References: 20

Abstract

Accredited laboratories participating in Proficiency Testing (PT) and Interlaboratory Comparison (ILC) typically submit measurement results (and associated uncertainties) to an organizer for performance evaluation using statistics such as the z-score and the En value. This requirement can undermine confidentiality when the disclosed plaintext values reveal commercially sensitive methods or client-related information. This paper proposes a secure-by-design PT/ILC workflow based on fully homomorphic encryption (FHE), enabling the required scoring computations to be executed directly on ciphertexts. Using the CKKS scheme (Microsoft SEAL), the organizer distributes encrypted assigned values and a public/evaluation key set; each participant locally encrypts pre-processed measurement data, evaluates encrypted z-score and En value, and returns only encrypted performance metrics. The organizer decrypts the metrics without receiving the ciphertexts of participants’ raw measurement values. We quantify feasibility via execution time, run-to-run variability across fresh key generations (coefficient of variation), and relative calculation error versus plaintext scoring. On commodity hardware, end-to-end score computation takes 1 to 8 s, the coefficient of variation can be reduced below 1e−10, and the relative error remains below 1e−6, indicating practical deployability and numerical stability for PT/ILC decision-making. Given that PT/ILC reporting cycles are typically on the order of days to weeks, a per-participant computation time of seconds is operationally negligible, while the observed coefficient of variation and relative error indicate that the CKKS approximation and key-dependent variability are far below typical decision thresholds used for pass/fail classification.

Fields of Study & Subjects

Scientific Measurement and Uncertainty Evaluation Physical Unclonable Functions (PUFs) and Hardware Security Pesticide Residue Analysis and Safety

Publication details

Journal / source
Telecom
Publisher
MDPI AG
Volume
7
Issue
1
Pages
14–14
Publication date
1 February 2026
Language
EN