Architecting Privacy-Preserving Distributed Systems for Handling User Data

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Authors: Projjal Ghosh
Cited by: 0

Abstract

Distributed systems that handle sensitive user data face concerning issues in ensuring the end-to-end encryption of the data lifecycle. This article introduces an architecture that guarantees encrypted user data transmission from the source to processing stages, till storage, and is only decrypted in cryptographically-secure environments. The system incorporates hardware security modules to guard encryption keys, trusted execution environments in confidential virtual machines to process encrypted data without exposing plaintext, and authenticated encryption to support persistent storage. Remote attestation protocols ensure the integrity of code before decryption, whereas binary transparency mechanisms permit independent verification of processing behavior. The architecture solves the threats to encrypted data, such as key compromise, memory extraction, storage tampering, and insider access, using layered cryptographic controls. Guidance on implementation includes the initiation of client-side encryption, secure key distribution hierarchies, isolated processing in hardware enclaves, and integrity-protected storage mechanisms. The resulting system allows enterprises to provide cryptographic security of user data over a distributed infrastructure and comply with regulatory data confidentiality requirements and privacy-preserving analytics with differential privacy methods.

Fields of Study & Subjects

Security and Verification in Computing Cryptography and Data Security Cloud Data Security Solutions

Publication details

Journal / source
Computer Fraud & Security
Pages
140–146
Publication date
28 January 2026