Poster: Efficient AES-GCM Decryption Under Homomorphic Encryption

Ehud Aharoni; Nir Drucker; Gilad Ezov; Eyal Kushnir; Hayim Shaul; Omri Soceanu

doi:10.1145/3576915.3624377

Poster: Efficient AES-GCM Decryption Under Homomorphic Encryption

Ehud Aharoni, Nir Drucker, Gilad Ezov, Eyal Kushnir, Hayim Shaul, Omri Soceanu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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
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	https://doi.org/10.1145/3576915.3624377
State	Published - 21 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

Conference

Conference	30th ACM SIGSAC Conference on Computer and Communications Security, CCS 2023
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

Access to Document

10.1145/3576915.3624377

Cite this

Aharoni, E., Drucker, N., Ezov, G., Kushnir, E., Shaul, H., & Soceanu, O. (2023). Poster: Efficient AES-GCM Decryption Under Homomorphic Encryption. In CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security (pp. 3567-3569). (CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security). Association for Computing Machinery, Inc. https://doi.org/10.1145/3576915.3624377

Aharoni, Ehud ; Drucker, Nir ; Ezov, Gilad et al. / Poster : Efficient AES-GCM Decryption Under Homomorphic Encryption. CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security. Association for Computing Machinery, Inc, 2023. pp. 3567-3569 (CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security).

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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.",

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Aharoni, E, Drucker, N, Ezov, G, Kushnir, E, Shaul, H & Soceanu, O 2023, Poster: Efficient AES-GCM Decryption Under Homomorphic Encryption. in CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security. CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, Association for Computing Machinery, Inc, pp. 3567-3569, 30th ACM SIGSAC Conference on Computer and Communications Security, CCS 2023, Copenhagen, Denmark, 26/11/23. https://doi.org/10.1145/3576915.3624377

Poster: Efficient AES-GCM Decryption Under Homomorphic Encryption. / Aharoni, Ehud; Drucker, Nir; Ezov, Gilad et al.
CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security. Association for Computing Machinery, Inc, 2023. p. 3567-3569 (CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Shaul, Hayim

AU - Soceanu, Omri

PY - 2023/11/21

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N2 - 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.

AB - 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.

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Aharoni E, Drucker N, Ezov G, Kushnir E, Shaul H, Soceanu O. Poster: Efficient AES-GCM Decryption Under Homomorphic Encryption. In CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security. Association for Computing Machinery, Inc. 2023. p. 3567-3569. (CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security). doi: 10.1145/3576915.3624377

Poster: Efficient AES-GCM Decryption Under Homomorphic Encryption

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this