PATENT CLAIM ANALYSIS

Application Number: 16028583
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2020-01
Patent Classification: ["726", "023000"]

Abstract:
Disclosed is a method, for detecting anomalies in a computer application which is running on a device in a data communications system, thereby creating events in the computer application. Each event comprises an event code identifying the event. The method comprises obtaining ( 200 ) an event profile of the computer application, the event profile comprising each unique event code of events detected during a defined period of operation of the computer application. The method further comprises detecting ( 220 ) a first event from the computer application, and comparing ( 222 ) the event code of the first event with the event codes of the event profile. The method further comprises, if the first event does not match any event in the stored event profile, creating ( 224 ) a notification.

Claim (Index 10):
A computer program comprising non-transitory computer readable code means to be run in a control node of a data communications system, the data communications system further comprising a device on which a computer application is running, wherein events are created in the computer application, and wherein each event comprises an event code identifying the event, which computer readable code means when run in the control node causes the control node to perform the following steps:\n obtaining an event profile of the computer application, the event profile comprising each unique event code of events detected during a defined period of operation of the computer application, wherein the event profile is based on an amount of data representing intended behavior; detecting a first event from the computer application; comparing the event code of the first event with the event codes of the event profile; when the first event does not match any event in the stored event profile, creating a notification regarding an anomalous event; and analyzing the anomalous event to determine whether it constitutes a true anomaly or not.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 95.0
- Lexical Diversity: 2.34426
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14134575', '12780655', '14613159', '12851830', '15940673']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.252819944748202
- 35 USC 102 Novelty (BERT): 0.4615111936016444
- Combined Prediction Score: 0.2736890696335463
- Mean Citation Score: 133.95202999999998
- Max Citation Score: 138.65076000000002
- Similarity Product: 103.1665229655218

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test