Privagic: automatic code partitioning with explicit secure typing

Partitioning a multi-threaded application between a secure and a non-secure memory zone remains a challenge. The current tools rely on data flow analysis techniques, which are unable to handle multi-threaded C or C++ applications. To avoid this limitation, we propose to trade the ease-of-use of data flow analysis for another language construct: explicit secure typing. With secure typing, as with data flow analysis, the developer annotates memory locations that contain sensitive values. However, instead of analyzing how the sensitive values flow, we propose to use these annotations to only check typing rules, such as ensuring that the code never stores a sensitive value in an unsafe memory location. By avoiding data flow analysis, the developer has to annotate more memory locations, but the partitioning tool can handle multi-threaded C and C++ applications.

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Publication Details

Published
2024-11-27
DOI
https://doi.org/10.1145/3652892.3700759
Citations
1
Primary Topic
Security and Verification in Computing
Type
article
Field-Weighted Citation Impact
0.35
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article

Privagic: automatic code partitioning with explicit secure typing

Gaël Thomas, Yohan Pipereau, Adam Chader, Subashiny Tanigassalame et al.
1 citations
Security and Verification in Computing
0.35
article

Privagic: automatic code partitioning with explicit secure typing

Gaël Thomas, Yohan Pipereau, Adam Chader, Subashiny Tanigassalame, Jana Toljaga
article en
1 citations

Abstract

Partitioning a multi-threaded application between a secure and a non-secure memory zone remains a challenge. The current tools rely on data flow analysis techniques, which are unable to handle multi-threaded C or C++ applications. To avoid this limitation, we propose to trade the ease-of-use of data flow analysis for another language construct: explicit secure typing. With secure typing, as with data flow analysis, the developer annotates memory locations that contain sensitive values. However, instead of analyzing how the sensitive values flow, we propose to use these annotations to only check typing rules, such as ensuring that the code never stores a sensitive value in an unsafe memory location. By avoiding data flow analysis, the developer has to annotate more memory locations, but the partitioning tool can handle multi-threaded C and C++ applications.

Centre Inria de Saclay (FR), Institut Polytechnique de Paris (FR), Télécom SudParis (FR)
Openalex Percentile: Top 31%
Security and Verification in Computing
0.35
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