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• W2235897054 abstract "Trust Evidence addresses the problem of how devices or systems should mutually assess trustworthiness at the onset and during interaction. Approaches to Trust Evidence can be used to assess risk, for example, facilitating the choice of threat posture as devices interact within the context of a smart city. Trust Evidence may augment authentication schemes by adding information about a device and its operational context. In this paper, we discuss Intel’s 3-year collaboration with university researchers on approaches to Trust Evidence. This collaboration included an exploratory phase that looked at several formulations of Trust Evidence in varied contexts. A follow-up phase looked more specifically at Trust Evidence in software runtime environments, and whether techniques could be developed to generate information on correct execution. We describe various research results associated with two key avenues of investigation, programming language extensions for numerical Trust Evidence and an innovative protected module architecture. We close with reflections on industry-university researcher collaborations and several suggestions for enabling success." @default.
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• W2235897054 date "2016-01-01" @default.
• W2235897054 modified "2023-09-25" @default.
• W2235897054 title "The Search for Trust Evidence" @default.
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• W2235897054 doi "https://doi.org/10.1007/978-3-319-28313-5_3" @default.
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