Nvidia Corporation

Daniel Cory Rohrer

Paolo Enrique Sabella

Andrew James Woodard

Christopher Schneider

William Bartig

In various examples, firewalls may include machine learning models that are automatically trained and applied to analyze service inputs submitted to input processing services and to identify whether service inputs are desirable (e.g., will result in an undesirable status code if processed by a service). When a service input is determined by a firewall to be desirable, the firewall may push the service input through to the input processing service for normal processing. When a service input is determined by the firewall to be undesirable, the firewall may block or drop the service input before it reaches the input processing service and/or server. This may be used to prevent the service input, which is likely to be undesirable, from touching a server that hosts the input processing service (e.g., preventing a crash).

Application firewalls based on self-modeling service flows

A roll compensation system for an electronic device, a method of mitigating impact of an electronic device and an impact-resistant mobile device incorporating the system or the method. In one embodiment, the system includes: (1) a plurality of sensors operable to detect orientation and motion of the electronic device, (2) a controller configured to detect a fall based on the motion and determine a mitigating roll based on the orientation and the motion and (3) a compensator operable to carry out the mitigating roll thereby reducing the probability of a catastrophic impact.

System and method for mitigating shock failure in an electronic device

In one embodiment of the present invention, a GPU contains an authentication module at the front end, and a memory security engine and graphic memory interface at the backend. In one embodiment of the present invention, the memory security engine provides a privilege table. The programmable privilege table maps memory address ranges, and user IDs to privileges for accessing the memory address ranges. In one embodiment of the present invention, the memory security engine receives a memory access command along with an associated authenticated user ID. In one embodiment of the present invention, the memory security engine checks the authenticated user ID and address range against the privilege table. In one embodiment of the present invention, if the table indicates that the user has authorization for the particular read or write transaction to the graphic memory, the instruction is executed by the graphic memory interface. If the accessed address is not in the table, no special privileges are needed to access that address. If the table indicates that the user does not have authorization for the particular read or write transaction, the memory security engine provides a memory redirect.

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Santa Clara, CA, United States of America

Daniel Cory Rohrer