Papers › SRAS: Self-governed Remote Attestation Scheme for Multi-party Collaboration

SRAS: Self-governed Remote Attestation Scheme for Multi-party Collaboration

4 Jul 2024arXiv:2407.03745links table onlyarchive 2025-07-28

Linan Tian, Yunke Shen, Zhiqiang Li

The archive published only this paper's code-link row. Authors, date and abstract are from arXiv's metadata (CC0), read from the Kaggle arXiv metadata snapshot of 2026-09-12 where its title matched the archive's; the title is the archive's.

Trusted Execution Environments (TEEs), such as Intel Software Guard Extensions (SGX), ensure the confidentiality and integrity of user applications when using cloud computing resources. However, in the multi-party cloud computing scenario, how to select a Relying Party to verify the TEE of each party and avoid leaking sensitive data to each other remains an open question. In this paper, we propose SRAS, an open self-governed remote attestation scheme with attestation and verification functions for verifying the trustworthiness of TEEs and computing assets, achieving decentralized unified trusted attestation and verification platform for multi-party cloud users. In SRAS, we design a Relying Party enclave, which can form a virtual verifiable network, capable of local verification on behalf of other participants relying parties without leaking sensitive data to others. We provide an open-source prototype implementation of SRAS to facilitate the adoption of this technology by cloud users or developers.

PaperPDFCode

Code

Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.

Code Syntology ran Syntology

Not run by Syntology. Nothing on this page verifies that the listed code works.

Results from the paper archive 2025-07-28

No leaderboard rows for this paper in the archive.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections