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Donate arxiv logo > cs > arXiv:2412.03842 [ ] Help | Advanced Search [All fields ] Search arXiv logo Cornell University Logo [ ] GO quick links * Login * Help Pages * About Computer Science > Cryptography and Security arXiv:2412.03842 (cs) [Submitted on 5 Dec 2024 (v1), last revised 11 Dec 2024 (this version, v2)] Title:CCxTrust: Confidential Computing Platform Based on TEE and TPM Collaborative Trust Authors:Ketong Shang, Jiangnan Lin, Yu Qin, Muyan Shen, Hongzhan Ma, Wei Feng, Dengguo Feng View a PDF of the paper titled CCxTrust: Confidential Computing Platform Based on TEE and TPM Collaborative Trust, by Ketong Shang and 6 other authors View PDF HTML (experimental) Abstract:Confidential Computing has emerged to address data security challenges in cloud-centric deployments by protecting data in use through hardware-level isolation. However, reliance on a single hardware root of trust (RoT) limits user confidence in cloud platforms, especially for high-performance AI services, where end-to-end protection of sensitive models and data is critical. Furthermore, the lack of interoperability and a unified trust model in multi-cloud environments prevents the establishment of a cross-platform, cross-cloud chain of trust, creating a significant trust gap for users with high privacy requirements. To address the challenges mentioned above, this paper proposes CCxTrust (Confidential Computing with Trust), a confidential computing platform leveraging collaborative roots of trust from TEE and TPM. CCxTrust combines the black-box RoT embedded in the CPU-TEE with the flexible white-box RoT of TPM to establish a collaborative trust framework. The platform implements independent Roots of Trust for Measurement (RTM) for TEE and TPM, and a collaborative Root of Trust for Report (RTR) for composite attestation. The Root of Trust for Storage (RTS) is solely supported by TPM. We also present the design and implementation of a confidential TPM supporting multiple modes for secure use within confidential virtual machines. Additionally, we propose a composite attestation protocol integrating TEE and TPM to enhance security and attestation efficiency, which is proven secure under the PCL protocol security model. We implemented a prototype of CCxTrust on a confidential computing server with AMD SEV-SNP and TPM chips, requiring minimal modifications to the TPM and guest Linux kernel. The composite attestation efficiency improved by 24% without significant overhead, while Confidential TPM performance showed a 16.47% reduction compared to standard TPM. Comments: 23 pages, 14 figures Subjects: Cryptography and Security (cs.CR) Cite as: arXiv:2412.03842 [cs.CR] (or arXiv:2412.03842v2 [cs.CR] for this version) https://doi.org/10.48550/arXiv.2412.03842 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Ketong Shang [view email] [v1] Thu, 5 Dec 2024 03:12:49 UTC (8,621 KB) [v2] Wed, 11 Dec 2024 00:42:47 UTC (8,619 KB) Full-text links: Access Paper: View a PDF of the paper titled CCxTrust: Confidential Computing Platform Based on TEE and TPM Collaborative Trust, by Ketong Shang and 6 other authors * View PDF * HTML (experimental) * TeX Source * Other Formats view license Current browse context: cs.CR < prev | next > new | recent | 2024-12 Change to browse by: cs References & Citations * NASA ADS * Google Scholar * Semantic Scholar a export BibTeX citation Loading... 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