中文版 | English
Title

vSGX: Virtualizing SGX Enclaves on AMD SEV

Author
Corresponding AuthorZhangyz,Yinqian; Lin,Zhiqiang
DOI
Publication Years
2022
Conference Name
IEEE Symposium on Security and Privacy
ISSN
1081-6011
ISBN
978-1-6654-1317-6
Source Title
Volume
2022-May
Pages
321-336
Conference Date
22-26 May 2022
Conference Place
San Francisco, CA, USA
Abstract

The growing need of trusted execution environment (TEE) has boomed the development of hardware enclaves. However, current TEEs and their applications are tightly bound to the hardware implementation, hindering their compatibility across different platforms. This paper presents vSGX, a novel system to virtualize the execution of an Intel SGX enclave atop AMD SEV. The key idea is to interpose the execution of enclave instructions transparently to support the SGX ISA extensions, consolidate encrypted virtual memory of separated SEV virtual machines to create a single virtualized SGX-like address space, and provide attestations for the authenticity of the TEE and the integrity of enclave software with a trust chain rooted in the SEV hardware. By design, vSGX achieves a comparable level of security guarantees on SEV as that on Intel SGX. We have implemented vSGX and demonstrated it imposes reasonable performance overhead for SGX enclave execution.

Keywords
SUSTech Authorship
Corresponding
Language
English
URL[Source Record]
Indexed By
EI Accession Number
20223412587379
ESI Classification Code
Data Storage, Equipment And Techniques:722.1
Scopus EID
2-s2.0-85135941875
Data Source
Scopus
PDF urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9833694
Citation statistics
Cited Times [WOS]:0
Document TypeConference paper
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/382635
DepartmentDepartment of Computer Science and Engineering
工学院_斯发基斯可信自主研究院
Affiliation
1.The Ohio State University,Department of Computer Science and Engineering,United States
2.Research Institute of Trust-worthy Autonomous Systems,Southern University of Science and Technology,China
3.Southern University of Science and Technology,Department of Computer Science and Engineering,China
Corresponding Author AffilicationSouthern University of Science and Technology;  Department of Computer Science and Engineering
Recommended Citation
GB/T 7714
Zhao,Shixuan,Li,Mengyuan,Zhangyz,Yinqian,et al. vSGX: Virtualizing SGX Enclaves on AMD SEV[C],2022:321-336.
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