Glamdring : Automatic Application Partitioning for Intel SGX
- Submitting institution
-
Royal Holloway and Bedford New College
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 31356301
- Type
- E - Conference contribution
- DOI
-
-
- Title of conference / published proceedings
- Proceedings of the 2017 USENIX Annual Technical Conference (USENIX ATC ’17)
- First page
- 285
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- -
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
11
- Research group(s)
-
-
- Citation count
- 20
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper was published at the USENIX Annual Technical Conference 2017, one of the most prestigious and longest-running computer systems conferences (2017 acceptance rate 21%/283). This paper was the first to demonstrate an automated approach, based on static analysis, to minimising the trusted computing base of applications deployed to Intel SGX cloud enclaves. Prior to this work, porting security sensitive parts of complex applications to enclaves was a tedious and error-prone process. This work influenced follow-on work by several groups, e.g. on automated partitioning of Java enclaves by Texas A&M/Berkeley (CIVET, USENIX Sec. '20).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -