Trusted execution, and the impact of security on performance
Brenner S, Behlendorf M, Kapitza R (2018)
Publication Type: Conference contribution
Publication year: 2018
Publisher: Association for Computing Machinery
Pages Range: 28-33
Conference Proceedings Title: Proceedings of the ACM Conference on Computer and Communications Security
Event location: Toronto, ON, CAN
ISBN: 9781450359986
Abstract
Due to increasing success of cloud computing offerings, the demand for sensitive data processing and security in the cloud has also increased. By incorporation of trusted execution technologies such as the broadly available Intel Software Guard Extensions (SGX), applications can be secured. However, software engineers need to align the development process with the capabilities and properties of such a technology, in order to correctly secure applications while achieving good performance. In this paper, we identify relevant aspects for partitioning applications and discuss two complementary designs optimising for performance or security respectively. Additionally, our contribution comprises a performance and security measurement, at the example of two established real-world applications, that we both partitioned according to the above two distinct design approaches. We consider this paper as a guideline for the partitioning process of mainly data-handling services for usage of trusted execution and as a collection of relevant characteristics during the development of applications with trusted execution environments.
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Germany (DE)How to cite
APA:
Brenner, S., Behlendorf, M., & Kapitza, R. (2018). Trusted execution, and the impact of security on performance. In Proceedings of the ACM Conference on Computer and Communications Security (pp. 28-33). Toronto, ON, CAN: Association for Computing Machinery.
MLA:
Brenner, Stefan, Michael Behlendorf, and Rüdiger Kapitza. "Trusted execution, and the impact of security on performance." Proceedings of the 3rd Workshop on System Software for Trusted Execution, SysTEX 2018, co-located with CCS 2018, Toronto, ON, CAN Association for Computing Machinery, 2018. 28-33.
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