公开(公告)号：US20230049219A1

公开(公告)日：2023-02-16

申请号：US17399884

申请日：2021-08-11

Applicant: Avast Software s.r.o.

Inventor： Martin Neznal ,  Roman Christov

IPC: G06F9/50 ,  G06F16/903

Abstract: An application activation method includes enabling an activation of one or more applications, including an activation of a first application, on a computing device. A first plurality of interactions of a user with the one or more applications on the computing device are detected. A first offer to renew the activation of the first application is generated based on the first plurality of interactions of the user. The first offer is provided to the user via the computing device. An acceptance of the first offer is received from the user, and the activation of the first application is renewed responsive to receiving the acceptance of the first offer.

公开(公告)号：US20200380335A1

公开(公告)日：2020-12-03

申请号：US16426958

申请日：2019-05-30

Applicant: Avast Software s.r.o.

Inventor： Martin Neznal

IPC: G06N3/04 ,  G06N3/08 ,  G06Q10/06

Abstract: A method of identifying anomalous traffic in a sequence of commercial transaction data includes preprocessing the commercial transaction data into a sequential time series of commercial transaction data, and providing the time series of commercial transaction data to a recurrent neural network. The recurrent neural network evaluates the provided time series of commercial transaction data to generate and output a predicted next element in the time series of commercial transaction data, which is compared with an observed actual next element in the time series of commercial transaction data. The observed next element in the time series of commercial transaction data is determined to be anomalous if it is sufficiently different from the predicted next element in the time series of commercial transaction data.