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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.‚Ķshow moreshow less

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Metadaten
Author:Louis Tajan, Moritz Kaumanns, Dirk WesthoffGND
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):License LogoEs gilt das UrhG
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