Patent ID: 11868861
Assignee: VISA INTERNATIONAL SERVICE ASSOCIATION
Field: Computer technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 0:
1. A method comprising:
receiving, by a server computer, data of a communication device;
training, by the server computer, a neural network model based on the data of the communication device and communication device metadata from one or more additional communication devices, to generate a machine learning model configured to determine, based on a metadata associated with an application, a security value related to an indication of a security threat; and
transmitting the machine learning model to the communication device,
wherein:
the communication device uses the machine learning model to determine the security value, by inputting the metadata associated with the application, as a vectorized data into the machine learning model, and obtaining the security value, as a result of analyzing the vectorized data by the machine learning model,
the communication device determines whether the security value exceeds a predetermined threshold value,
based on the security value exceeding the predetermined threshold value, the communication device determines to run or install the application, and
based on the security value not exceeding the predetermined threshold value:
the communication device determines if a new profile related to a user and generated with respect to the vectorized data is different from a stored profile related to the user, by a predetermined difference amount or more,
based on the new profile being different from the stored profile by the predetermined difference amount or more, the communication device determines to not run or install the application, and
based on the new profile being different from the stored profile by less than the predetermined difference amount, the communication device determines to run or install the application.