POSTER: Rust SGX SDK: Towards Memory Safety in Intel SGX Enclave
By Yu Ding, Ran Duan, Long Li, Yueqiang Cheng, Yulong Zhang, Tanghui Chen, Tao Wei, Huibo Wang. 2017
28 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Information Systems
- Ari Juels
- Dawn Song
- Andrew K. Miller
- Fan Zhang
- Yinqian Zhang
- Warren He
- Raymond Cheng
- Noah M. Johnson
In Signal Processing
Citations in the corpus
- Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contracts (2018, positive): “We have implemented a compiler, which automatically builds contracts into executables that can be loaded into a compute node, using the Rust SGX SDK [28].”
- SgxPectre Attacks: Leaking Enclave Secrets via Speculative Execution (2018, methodology): “nclave code to examine code patterns in the SGX runtimes, and have identified those code patterns in every runtime library we have examined, including Intel’s SGX SDK [35], Graphene-SGX [9], Rust-SGX [14]. In this section, we present how we search these gadgets in greater detail. 5.1 Types of Gadget”
- The Ekiden Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contracts (2020, methodology): “7 Ekiden is compatible with the existing blockchain.”
- SgxPectre: Stealing Intel Secrets from SGX Enclaves Via Speculative Execution (2018, methodology): “…we have developed an automated program analysis tool that symbolically executes the enclave code to examine code patterns in the SGX runtimes, and have identified those code patterns in every runtime library we have examined, including Intel’s SGX SDK [35], Graphene-SGX [9], Rust-SGX [14].”