Intel Software Guard Extensions Applications: A Survey

Will, Newton C.; Maziero, Carlos

doi:10.1145/3593021

Cited by 9 publications

(2 citation statements)

References 213 publications

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“…The first SMC applications for TEE were built for the SGX as the first widely available confidential computing technology. An up-to-date literature review of the research on the Intel SGX architecture, including its applications, was published by [19]. In this study, SMC is recognized as one of the SGX potential applications, classified by context under distributed data processing.…”

Section: Smc Using Teementioning

confidence: 99%

Secure Multiparty Computation Using Secure Virtual Machines

Miladinović,

Milaković,

Vukasović

et al. 2024

Electronics

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The development of new processor capabilities which enable hardware-based memory encryption, capable of isolating and encrypting application code and data in memory, have led to the rise of confidential computing techniques that protect data when processed on untrusted computing resources (e.g., cloud). Before confidential computing technologies, applications that needed data-in-use protection, like outsourced or secure multiparty computation, used purely cryptographic techniques, which had a large negative impact on the processing performance. Processing data in trusted enclaves protected by confidential computing technologies promises to protect data-in-use while possessing a negligible performance penalty. In this paper, we have analyzed the state-of-the-art in the field of confidential computing and present a Confidential Computing System for Artificial Intelligence (CoCoS.ai), a system for secure multiparty computation, which uses virtual machine-based trusted execution environments (in this case, AMD Secure Encrypted Virtualization (SEV)). The security of the proposed solution, as well as its performance, have been formally analyzed and measured. The paper reveals many gaps not reported previously that still exist in the current confidential computing solutions for the secure multiparty computation use case, especially in the processes of creating new secure virtual machines and their attestation, which are tailored for single-user use cases.

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Section: Smc Using Teementioning

confidence: 99%

Secure Multiparty Computation Using Secure Virtual Machines

Miladinović,

Milaković,

Vukasović

et al. 2024

Electronics

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“…Intel SGX [16][17][18][19][20] is a set of new instructions and modifications to the memory access architecture of Intel CPUs. Figure 1 summarizes the main features of SGX: memory isolation and remote attestation.…”

Section: Intel Sgxmentioning

confidence: 99%

A Secure and Efficient Dynamic Analysis Scheme for Genome Data within SGX-Assisted Servers

Li,

Zhou,

Wang

et al. 2023

Electronics

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With the rapid development of the Internet of Things (IoT), more and more user devices access the network and generate large amounts of genome data. These genome data possess significant medical value when researched. However, traditional genome analysis confronts security and efficiency challenges, including access pattern leakage, low efficiency, and single analysis methods. Thus, we propose a secure and efficient dynamic analysis scheme for genome data within a Software Guard Extension (SGX)-assisted server, called SEDASGX. Our approach involves designing a secure analysis framework based on SGXs and implementing various analysis methods within the enclave. The access pattern of genome data is always obfuscated during the analysis and update process, ensuring privacy and security. Furthermore, our scheme not only achieves higher analysis efficiency but also enables dynamic updating of genome data. Our results indicate that the SEDASGX analysis method is nearly 2.5 times more efficient than non-SGX methods, significantly enhancing the analysis speed of large-scale genome data.

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