Patent ID: 11934520
Assignee: NVIDIA CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 17:
18. A method of detecting anomalies of data communicated via a data interface, comprising:
determining contextual anomalies for different data types communicated over a data interface by generating deviation values for the different data types employing a first neural network, wherein the deviation values are based on a difference between a predicted data value of the different data types and a real data value of the different data types communicated over the data interface;
determining which of the contextual anomalies are out of context by comparing each of the deviation values to one or more of the other deviation values employing a second neural network; and
generating a probability of attack based on the contextual anomalies that are out of context, wherein the probability of attack indicates a probability of an error in subsequent communications of the different data types associated with the contextual anomalies that are out of context.