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intel/openlldp

Contribute to intel/openlldp development by creating an account on GitHub.
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vincentbernat.github.io

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MTU Ninja | Vincent Bernat
Vincent Bernat's homepage


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Welcome to Open-FCoE.org — Open-FCoE
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lorephoenix.blogspot.com

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Server Lab
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electronproton.com

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perimatic.eu

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PERIMATIC - Architecte du Point de Vente
PERIMATIC, société européenne spécialisée dans la création d'équipements et l'évolution technologique des solutions point de vente. Elle communique son travail au travers de sa marque déposée SAGA®.


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gms.tf

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Georg's Log
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sniablog.org

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Confidential Computing FAQ
Recently, the SNIA Cloud Storage Technologies Initiative (CSTI) I hosted a lively panel discussion “What is Confidential Computing and Why Should I Care?” It was the first in a 3-part series of Confidential Computing security discussions. You can learn about the series here.  The webcast featured three experts who are working to define the Confidential Computing architecture, Mike Bursell of the Enarx Project, David Kaplan at AMD, and Ronald Perez from Intel. This session served as an introduction to the concept of Confidential Computing and examined the technology and its initial uses. The audience asked several interesting questions. We’re answering some of the more basic questions here, as well as some that did not get addressed directly during the live event. Q. What is Confidential Computing?  How does it complement existing security efforts, such as the Trusted Platform Model (TPM)? A.  Confidential Computing is an architectural approach to security that uses virtualization to create a Trusted Execution Environment (TEE).  This environment can run any amount of code within it, though the volume of code is usually selective in the protected environment. This allows data to be completely protected, even from other code and data running in the system. Q.  Is Confidential Computing only for a CPU architecture? A. The current architecture is focused on delivering this capability via the CPU, but nothing limits other system components such as GPU, FPGA, or the like from implementing a similar architecture. Q. It was mentioned that with Confidential Compute, one only needs to trust their own code along with the hardware. With the prevalence of microarchitectural attacks that break down various isolation mechanisms, can the hardware really be trusted? A. Most of the implementations to create a TEE are using fairly well-tested hardware and security infrastructure.  As such, the threat profile is fairly low. However, any implementation in the market does need to

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tobru.ch

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