Abstract
Homomorphic encryption (HE) is a promising technology for protecting data in use, with considerable progress in recent years towards attaining practical runtime performance. However, the high storage overhead associated with HE remains an obstacle to its large-scale adoption. In this work we propose a new storage solution in the two-server model resolving the high storage overhead associated with HE, while preserving rigorous data confidentiality. We empirically evaluated our solution in a proof-of-concept system running on AWS EC2 instances with AWS S3 storage, demonstrating storage size with zero overhead over storing AES ciphertexts, and 10μs amortized end-to-end runtime. In addition, we performed experiments on multiple clouds, i.e., where each server resides on a different cloud, exhibiting similar results. As a central tool we introduce the first perfect secret sharing scheme with fast homomorphic reconstruction over the reals; this may be of independent interest.
Original language | English |
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Title of host publication | 32nd USENIX Security Symposium, USENIX Security 2023 |
Publisher | USENIX Association |
Pages | 4751-4768 |
Number of pages | 18 |
ISBN (Electronic) | 9781713879497 |
State | Published - 2023 |
Event | 32nd USENIX Security Symposium, USENIX Security 2023 - Anaheim, United States Duration: 9 Aug 2023 → 11 Aug 2023 |
Publication series
Name | 32nd USENIX Security Symposium, USENIX Security 2023 |
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Volume | 7 |
Conference
Conference | 32nd USENIX Security Symposium, USENIX Security 2023 |
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Country/Territory | United States |
City | Anaheim |
Period | 9/08/23 → 11/08/23 |
Bibliographical note
Publisher Copyright:© USENIX Security 2023. All rights reserved.
ASJC Scopus subject areas
- Computer Networks and Communications
- Information Systems
- Safety, Risk, Reliability and Quality