Encrypted Federated Search Using Homomorphic Encryption

• URL: http://arxiv.org/abs/2505.02409v1
• Date: Mon, 05 May 2025 07:03:30 GMT
• Title: Encrypted Federated Search Using Homomorphic Encryption
• Authors: Om Rathod, Aastha Baid, Aswani Kumar Cherukuri,
• Abstract summary: This paper introduces a privacy-preserving federated search system that allows law enforcement agencies to conduct queries on encrypted criminal databases.<n>The key innovation here is the ability to execute encrypted queries across distributed databases, without the decryption of the data.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The sharing of information between agencies is effective in dealing with cross-jurisdictional criminal activities; however, such sharing is often restricted due to concerns about data privacy, ownership, and compliance. Towards this end, this work has introduced a privacy-preserving federated search system that allows law enforcement agencies to conduct queries on encrypted criminal databases by utilizing Homomorphic Encryption (HE). The key innovation here is the ability to execute encrypted queries across distributed databases, without the decryption of the data, thus preserving end-to-end confidentiality. In essence, this approach meets stringent privacy requirements in the interests of national security and regulatory compliance. The system incorporates the CKKS and BFV scheme embedded within TenSEAL, with each agency holding its key pair in a centralized key management table. In this federated search, encrypted queries are computed on the server side, and only authorized clients can decrypt the computed results. The matching of agencies is flexible for working in real-time while at the same time being secure and scalable while preserving control over data and the integrity of the process. Experimental results demonstrate the model. This paper also provide the implementation code and other details.

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