Security and Trust Metrics for Edge Computing

Acken, John M.; Sehgal, Naresh K.; Bansal, Divya; Bass, Robert B.

doi:10.1109/gridedge54130.2023.10102745

Security and Trust Metrics for Edge Computing

Conference · 10 April 2023 · 2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge)

DOI:https://doi.org/10.1109/gridedge54130.2023.10102745· OSTI ID:1971520

^[1]; Sehgal, Naresh K. ^[2]; Bansal, Divya ^[3]; ^[1]

Portland State University,ECE Department,Portland,OR,USA
NovaSignal Corp. Cloud Engineering,Los Angeles,CA,USA
Punab Engineering College,Cyber Security Research Centre,Chandigarh,India

The present state of edge computing is an environment of different computing capabilities connected via a wide variety of communication paths. The energy grid is relying upon distributed energy devices connected at the edge of the internet. Consider the scenario where each edge device is customer-owned distributed energy resource (DER) that is connected via a trustworthy link to a grid service provider. Each DER keeps a local simple trust record of interactions. Information protection is provided by internet https standards, however, trust must be evaluated throughout operation. This paper presents a model for representing and evaluating trust in general and applied to the energy grid as a key example. Actors on the edge may interact with each other as well as with a central datacenter.

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Research Organization:: Portland State Univesity

Sponsoring Organization:: USDOE Office of Electricity (OE)

DOE Contract Number:: OE0000922

OSTI ID:: 1971520

Journal Information:: 2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge), Conference: IEEE PES Grid Edge Technologies Conference & Exposition San Diego, CA April 10-13

Country of Publication:: United States

Language:: English

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Related Subjects

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
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