预计算适当的参数:如何加速云审计的同态加密

Louis Tajan, Moritz Kaumanns, D. Westhoff
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引用次数: 1

摘要

在一个半自治的云审计架构中,我们通过应用[4]中的某种同态加密(SHE)方案的公钥版本,加入了隐私增强机制[15]。事实证明,通过从具体的云审计用例中仔细导出相关的加密参数,SHE的性能可以得到显着提高,该方案可以作为隐私增强方法。通过分析和考虑方案的安全性、正确性和性能,我们提供了一种通用算法,用于根据给定的用例场景找到良好的SHE参数。此外,为了显示我们提出的算法的相关性,我们将其应用于两个主要的云审计用例。
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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 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.
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