Pre-Computing Appropriate Parameters: How to Accelerate Somewhat Homomorphic Encryption for Cloud Auditing
- In a Semi-autonomic cloud auditing architecture we weaved in privacy enhancing mechanisms [15] by applying the public key version of the Somewhat homomorphic encryption (SHE) scheme from [4]. It turns out that the performance of the SHE can be significantly improved by carefully deriving relevant crypto parameters from the concrete cloud auditing use cases for which the scheme serves as a privacyIn a Semi-autonomic cloud auditing architecture we weaved in privacy enhancing mechanisms [15] by applying the public key version of the Somewhat homomorphic encryption (SHE) scheme from [4]. It turns out that the performance of the SHE can be significantly improved by carefully deriving relevant crypto parameters from the concrete cloud auditing use cases for which the scheme serves as a privacy enhancing approach. We provide a generic algorithm for finding good SHE parameters with respect to a given use case scenario by analyzing and taking into consideration security, correctness and performance of the scheme. Also, to show the relevance of our proposed algorithms we apply it to two predominant cloud auditing use cases.…
Author: | Louis Tajan, Moritz Kaumanns, Dirk WesthoffGND |
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Creating Corporation: | IEEE |
Publisher: | IEEE Xplore |
Year of Publication: | 2018 |
Pagenumber: | 6 |
ISBN: | 978-1-5386-3662-6 (digital) |
ISBN: | 978-1-5386-3663-3 (Print) |
Language: | English |
Parent Title (English): | Proceedings of NTMS 2018 Conference and Workshop |
ISSN: | 2157-4960 |
Document Type: | Conference Proceeding |
Institutes: | Bibliografie |
Open Access: | Zugriffsbeschränkt |
Release Date: | 2021/01/19 |
Licence (German): | ![]() |
Note: | Konferenz: 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS), 26-28 Feb. 2018, Paris, France |
DOI: | https://doi.org/10.1109/NTMS.2018.8328713 |