Integrating Remote Attestation with Transport Layer Security
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Abstract (arXiv)
Intel(R) Software Guard Extensions (Intel(R) SGX) is a promising technology to securely process information in otherwise untrusted environments. An important aspect of Intel SGX is the ability to perform remote attestation to assess the endpoint's trustworthiness. Ultimately, remote attestation will result in an attested secure channel to provision secrets to the enclave. We seamlessly combine Intel SGX remote attestation with the establishment of a standard Transport Layer Security (TLS) connection. Remote attestation is performed during the connection setup. To achieve this, we neither change the TLS protocol, nor do we modify existing protocol implementations. We have prototype implementations for three widely used open-source TLS libraries: OpenSSL, wolfSSL and mbedTLS. We describe the requirements, design and implementation details to seamlessly bind attested TLS endpoints to Intel SGX enclaves.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Jan 2018.
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Citing papers per year: 2021: 2; 2022: 2; 2023: 2; 2024: 1; 2025: 0; 2026: 2.
9 papers.
- 2021PPFL: Privacy-preserving Federated Learning with Trusted Execution Environmentscited by 93
- 2022Federated Learning Enables Big Data for Rare Cancer Boundary Detectioncited by 83
- 2024HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryptioncited by 12
- 2021Perun: Secure Multi-Stakeholder Machine Learning Framework with GPU Supportcited by 2
- 2026The Proxy Knows Too Much: Sealing LLM API Routers with Attested TEEscited by 1
- 2022Horizontal Federated Learning and Secure Distributed Training for Recommendation System with Intel SGXcited by 0
- 2023A Generative Framework for Low-Cost Result Validation of Machine Learning-as-a-Service Inferencecited by 0
- 2023Scalable and Privacy-Preserving Synthetic Data Generation on Decentralised Webcited by 0
- 2026SoK: Decentralized Agent Economic Infrastructurecited by 0
- 2026SoK: Decentralized Agent Economic Infrastructure1 Oct 2026
- 2026The Proxy Knows Too Much: Sealing LLM API Routers with Attested TEEs15 Jun 2026
- 2024HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption21 Mar 2024
- 2023Scalable and Privacy-Preserving Synthetic Data Generation on Decentralised Web30 Oct 2023
- 2023A Generative Framework for Low-Cost Result Validation of Machine Learning-as-a-Service Inference31 Mar 2023
- 2022Horizontal Federated Learning and Secure Distributed Training for Recommendation System with Intel SGX11 Jul 2022
- 2022Federated Learning Enables Big Data for Rare Cancer Boundary Detection22 Apr 2022
- 2021PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments29 Apr 2021
- 2021Perun: Secure Multi-Stakeholder Machine Learning Framework with GPU Support31 Mar 2021