Enhancing the Availability and Security of Attestation Scheme for Multiparty-Involved DLaaS: A Circular Approach

In this paper, we propose a remote attestation approach based on multiple verifiers named CARE. CARE aims to enhance the practicality and efficiency of remote attestation while addressing trust issues within environments involving multiple stakeholders. Specifically, CARE adopts the concept of swarm verification, and employs a circular collaboration model with multiple verifiers to collect and validate evidence, thereby resolving trust issues and enhancing verification efficiency. Moreover, CARE introduces a meticulously designed filtering mechanism to address the issue of false positives in verification outcomes non-invasively. CARE utilizes a multiway tree structure to construct the baseline value library, which enhances the flexibility and fine-grained management capability of the system. Security analysis indicates that CARE can effectively resist collusion attacks. Further, detailed simulation experiments have validated its capability to convincingly attest to the trustworthiness of the dynamically constructed environment. Notably, CARE is also suitable for the remote attestation of large-scale virtual machines, achieving an efficiency 9 times greater than the classical practice approach. To the best of our knowledge, CARE is the first practical solution to address inaccuracies in remote attestation results caused by the activation of Integrity Measurement Architecture (IMA) at the application layer.

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Publication Details

Journal
IEEE Transactions on Cloud Computing
Published
2024-12-26
DOI
https://doi.org/10.1109/tcc.2024.3522993
Citations
1
Primary Topic
Cloud Data Security Solutions
Type
article
Field-Weighted Citation Impact
0.78
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article

Enhancing the Availability and Security of Attestation Scheme for Multiparty-Involved DLaaS: A Circular Approach

Miaomiao Yang, Xingshu Chen, Guosheng Huang, Qixu Wang et al.
1 citations
IEEE Transactions on Cloud Computing
Cloud Data Security Solutions
0.78
article

Enhancing the Availability and Security of Attestation Scheme for Multiparty-Involved DLaaS: A Circular Approach

Miaomiao Yang, Xingshu Chen, Guosheng Huang, Qixu Wang, H. J. Chen, Yongyi Liao
article en
1 citations

Abstract

In this paper, we propose a remote attestation approach based on multiple verifiers named CARE. CARE aims to enhance the practicality and efficiency of remote attestation while addressing trust issues within environments involving multiple stakeholders. Specifically, CARE adopts the concept of swarm verification, and employs a circular collaboration model with multiple verifiers to collect and validate evidence, thereby resolving trust issues and enhancing verification efficiency. Moreover, CARE introduces a meticulously designed filtering mechanism to address the issue of false positives in verification outcomes non-invasively. CARE utilizes a multiway tree structure to construct the baseline value library, which enhances the flexibility and fine-grained management capability of the system. Security analysis indicates that CARE can effectively resist collusion attacks. Further, detailed simulation experiments have validated its capability to convincingly attest to the trustworthiness of the dynamically constructed environment. Notably, CARE is also suitable for the remote attestation of large-scale virtual machines, achieving an efficiency 9 times greater than the classical practice approach. To the best of our knowledge, CARE is the first practical solution to address inaccuracies in remote attestation results caused by the activation of Integrity Measurement Architecture (IMA) at the application layer.

IEEE Transactions on Cloud ComputingVol. 13(1)
University of Electronic Science and Technology of China (CN), Sichuan University (CN)
Openalex Percentile: Top 18%
Cloud Data Security Solutions
0.78
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Enhancing the Availability and Security of Attestation Scheme for Multiparty-Involved DLaaS: A Circular Approach — Miaomiao Yang, Xingshu Chen, et al. · IEEE Transactions on Cloud Computing (2024) | TGRS Research Map | TGRS