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Root-of-Trust Abstractions for Symbolic Analysis: Application to Attestation Protocols

Authors: Georgios Fotiadis; José Moreira; Thanassis Giannetsos; Liqun Chen 0002; Peter B. Rønne; Mark Ryan 0001; Peter Y. A. Ryan;

Root-of-Trust Abstractions for Symbolic Analysis: Application to Attestation Protocols

Abstract

A key component in building trusted computing services is a highly secure anchor that serves as a Root-of-Trust (RoT). There are several works that conduct formal analysis on the security of such commodity RoTs (or parts of it), and also a few ones devoted to verifying the trusted computing service as a whole. However, most of the existing schemes try to verify security without di erentiating the internal cryptography mechanisms of the underlying hardware token from the client application cryptography. This approach limits, to some extent, the reasoning that can be made about the level of assurance of the overall system by automated reasoning tools. In this work, we present a methodology that enables the use of formal veri cation tools towards verifying complex protocols using trusted computing. The focus is on reasoning about the overall application security, provided from the integration of the RoT services, and how these can translate to larger systems when the underlying cryptographic engine is considered perfectly secure. Using the Tamarin prover, we demonstrate the feasibility of our approach by instantiating it for a TPM-based remote attestation service, which is one of the core security services needed in today's increased attack landscape.

Keywords

Formal Verication, Tamarin-prover, Trusted Computing, TPM modelling, Formal Verification, SAPiC, Remote attestation

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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