Refine
Year of publication
- 2018 (13) (remove)
Document Type
- Conference Proceeding (13) (remove)
Conference Type
- Konferenzartikel (13)
Has Fulltext
- no (13)
Is part of the Bibliography
- yes (13)
Keywords
- MEMS (1)
- accelerometer (1)
- cluster (1)
- gyroscope (1)
- inertial measurement unit (1)
- machine learning (1)
- temperature dependency (1)
Institute
- ivESK - Institut für verlässliche Embedded Systems und Kommunikationselektronik (13) (remove)
Open Access
- Closed Access (11)
- Open Access (2)
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.