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  • TrustFound: Towards a formal foundation for model checking trusted computing platforms

    Author(s)
    Bai, G
    Hao, J
    Wu, J
    Liu, Y
    Liang, Z
    Martin, A
    Griffith University Author(s)
    Bai, Guangdong
    Martin, Andrew
    Year published
    2014
    Metadata
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    Abstract
    Trusted computing relies on formally verified trusted computing platforms to achieve high security assurance. In practice, however, new platforms are often proposed without a comprehensive formal evaluation and explicitly defined underlying assumptions. In this work, we propose TRUSTFOUND, a formal foundation and framework for model checking trusted computing platforms. TRUSTFOUND includes a logic for formally modeling platforms, a model of trusted computing techniques and a broad spectrum of threat models. It can be used to check platforms on security properties (e.g., confidentiality and attestability) and uncover the ...
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    Trusted computing relies on formally verified trusted computing platforms to achieve high security assurance. In practice, however, new platforms are often proposed without a comprehensive formal evaluation and explicitly defined underlying assumptions. In this work, we propose TRUSTFOUND, a formal foundation and framework for model checking trusted computing platforms. TRUSTFOUND includes a logic for formally modeling platforms, a model of trusted computing techniques and a broad spectrum of threat models. It can be used to check platforms on security properties (e.g., confidentiality and attestability) and uncover the implicit assumptions that must be satisfied to guarantee the security properties. In our experiments, TRUSTFOUND is used to encode and model check two trusted platforms. It has identified a total of six implicit assumptions and two severe previously-unknown logic flaws from them.
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    Conference Title
    Lecture Notes in Computer Science
    Volume
    8442
    DOI
    https://doi.org/10.1007/978-3-319-06410-9_8
    Subject
    Theory of computation
    Science & Technology
    Computer Science, Software Engineering
    Computer Science, Theory & Methods
    Publication URI
    http://hdl.handle.net/10072/411921
    Collection
    • Conference outputs

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