Publikation
How to make Secure Storage fast for DBMSs in Intel SGXv2
Adrian Lutsch; Christian Franck; Muhammad El-Hindi; Norman May; Zsolt István; Carsten Binnig
In: Proceedings of the 22nd International Workshop on Data Management on New Hardware, DaMoN 2026, Bengaluru, India, 31 May 2026- 5 June 2026. International Workshop on Data Management on New Hardware (DaMoN), Pages 1:1-1:10, ACM, 2026.
Zusammenfassung
Recent Trusted Execution Environments based on Intel SGXv2 en-
able fast and confidential in-memory processing for DBMSs. How-
ever, secure persistence remains a major performance and security
challenge. While native SGX-based storage mechanisms provide
confidentiality and integrity out of the box, they incur high over-
heads for DBMSs. In this paper, we analyze the overheads and
introduce novel techniques for secure and fast DBMS storage. As
we show, these techniques reduce the high storage overheads of
native SGX storage mechanisms to negligible overheads, enabling
practical, high-performance, secure storage for cloud databases.