Dell Products Inc.

Sarah Evans

Zhen Jia

Jinpeng Liu

Victor Fong

Tianxiang Chen

Methods, apparatus, and processor-readable storage media for authenticating usage data for processing by machine learning models are provided herein. An example method includes receiving, by a machine learning application installed in a user space of an operating system of a user device, a message from a software component, wherein the software component is: configured to collect usage data associated with the user device; signed with using private key corresponding to a digital certificate by an application installed on the user device; and deployed in a kernel space of the operating system, and wherein the message comprises usage data signed using the private key; authenticating, by the machine learning application, the usage data based on a public key corresponding to the digital certificate; and processing, by the machine learning application in response to a result of the authenticating, at least a portion of the authenticated usage data.

Authenticating usage data for processing by machine learning models

Edge security is disclosed. Hosts included in a distributed infrastructure are equipped with data processing units that may be centrally managed using a control plane. Security policies can be selectively distributed to the hosts and localized at the hosts. Reactions to security violations can be initiated at the hosts in substantially real-time. The security policies may take various forms, including rule-based security policies and inference mode-based security policies.

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Parker, CO, United States of America

Sarah Evans