PATENT CLAIM ANALYSIS

Application Number: 16015654
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["726", "023000"]

Abstract:
A system and method is provided for detecting anomalous events occurring in an operating system of a computing device. An exemplary method includes detecting an event that occurs in the operating system of the computing device during execution of a software process. Moreover, the method includes determining a context of the detected event and forming a convolution of the detected event based on selected features of the determined context of the detected event. Further, the method includes determining a popularity of the formed convolution by polling a database containing data relating to a frequency of detected events occurring in client devices in a network, where the detected events of the client devices correspond to the detected event in the computing device. If the determined popularity is below a threshold value, the method determines that the detected event is an anomalous event

Claim (Index 24):
The system of  claim 23 , wherein the convolution of the event is generated by the client device based on one or more identified features of the event and obtained from the client device using the agent.

Metadata:
- Claim Count in Document: 65.0
- Percentile: 94.0
- Lexical Diversity: 2.36508
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15725693', '15720334', '14077104', '13922625', '13930523']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3191090438108063
- 35 USC 102 Novelty (BERT): 0.5385594208582125
- Combined Prediction Score: 0.3410540815155469
- Mean Citation Score: 238.15829
- Max Citation Score: 392.064
- Similarity Product: 247.42177507781983

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test