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With its strongest security setting applied (i.e., level 5), MesaTEE guarantees data confidentiality even if all parties along the computation path, privileged or not, are untrusted. This includes:
Consider the following scenario. A small business needs to employ image classification techniques in its daily production. However, the business does not have the capabilities to train a high-quality machine learning model, nor does it have the hardware resources to host the machine learning infrastructures. Under such circumstances, the only solution is to subscribe to some cloud computing service and run the needed image classification tasks remotely. However, this solution requires the small business to upload its private data to the cloud, which may deeply concerns the business owner and hinders the deployment of such techniques.
With MesaTEE, privacy concerns above are no more. The small business can subscribe to the cloud service from company A, rent the machine learning model from company B, and use the deep learning inference engine provided by company C. None of these parties need to trust another, yet the computation can commence with everyone's privacy respected.
In the settings above, the root of trust converges to Intel and its SGX-enabled CPU chips. Before the computation starts, MesaTEE is booted as a secure SGX enclave on one of these CPUs owned by the cloud service provider. After that, each party can remotely attest the authenticity of the hardware and the integrity of MesaTEE software. Private data are securely provisioned to the MesaTEE enclave only if the attestation passes. After the provision, no privileged software is able to access the memory content owned by the enclave from outside.
The remote attestation functionality implemented by MesaTEE is augmented from the method described by an Intel white paper. The complicated structure of MesaTEE requires additional work for remote attestation, which is explained in details via a separate documentation.
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