Archive/Homomorphic Encryption as an Enabler for Secure Multi-Source Data Aggregation and Confidential Analytics
Homomorphic Encryption as an Enabler for Secure Multi-Source Data Aggregation and Confidential Analytics
Cristina Regueiro, Julen Bernabé-Rodríguez, Iñaki Seco-Aguirre et al.
21 juillet 2026
en

Abstract

Homomorphic Encryption plays a key role in secure multi-source data aggregation because it enables computations to be performed directly over encrypted data, allowing distributed parties to contribute sensitive information while preserving confidentiality. However, its use in this context introduces three main challenges: existing approaches often focus on specific operations rather than supporting diverse analytics across multiple encrypted data sources; key generation and management frequently rely on trusted third parties or require private keys to be shared; and TEE-based solutions may avoid trusted third parties but often require computations to be partially executed inside the trusted environment, thereby limiting deployment flexibility. To address these limitations, this work makes three main contributions: (i) the proposal of a complete framework for secure multi-source data aggregation that leverages homomorphic encryption and enables any data consumer to securely run multi-source data aggregations over data previously registered by untrusted data providers; (ii) the integration of secure enclaves for the secure generation, distribution, and management of homomorphic keys, addressing challenges related to coordinated key synchronization in multi-party aggregation environments and removing the need for a trusted third party; and (iii) the introduction of a hybrid key management protocol that combines secure enclave-based key generation with efficient key distribution and secure aggregation outside the enclave, in the data consumer, minimizing trust assumptions and computational overhead. The implementation and evaluation on small-scale aggregated datasets show that the proposed approach effectively addresses the identified challenges by providing, to the best of the authors’ knowledge, the first practical and privacy-preserving solution that supports different algorithms without relying on any trusted third party, while improving over existing solutions through the integration of secure enclaves and a hybrid key management protocol.

IPC Classification

G06

Keywords

homomorphicencryptionenablersecuremulti-sourcedataaggregationconfidentialanalyticsjournalcybersecurityprivacyplaysrolebecauseenablescomputationsperformeddirectlyencryptedallowingdistributedpartiescontribute
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