Abstract
Computation delegation to untrusted third-party while maintaining data confidentiality is possible with homomorphic encryption (HE). However, in many cases, the data was encrypted using another cryptographic scheme such as AES-GCM. Hybrid encryption (a.k.a Transciphering) is a technique that allows moving between cryptosystems, which currently has two main drawbacks: 1) lack of standardization or bad performance of symmetric decryption under FHE; 2) lack of input data integrity. We report the first implementations of AES-GCM decryption under CKKS, which is the fastest implementation of standardized and commonly used symmetric encryption under homomorphic encryption that also provides integrity. Our solution opens the door to end-to-end implementations such as encrypted deep neural networks while relying on AES-GCM encrypted input.
Original language | English |
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Title of host publication | CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security |
Publisher | Association for Computing Machinery, Inc |
Pages | 3567-3569 |
Number of pages | 3 |
ISBN (Electronic) | 9798400700507 |
DOIs | |
State | Published - 15 Nov 2023 |
Externally published | Yes |
Event | 30th ACM SIGSAC Conference on Computer and Communications Security, CCS 2023 - Copenhagen, Denmark Duration: 26 Nov 2023 → 30 Nov 2023 |
Publication series
Name | CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security |
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Conference
Conference | 30th ACM SIGSAC Conference on Computer and Communications Security, CCS 2023 |
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Country/Territory | Denmark |
City | Copenhagen |
Period | 26/11/23 → 30/11/23 |
Bibliographical note
Publisher Copyright:© 2023 Copyright held by the owner/author(s).
Keywords
- AES256-GCM
- homomorphic encryption
- hybrid encryption
- standard implementations
- transciphering
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Software