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 22):
The method of  claim 1 , wherein the convolution comprises at least one of a hash of the event, and a vector of the event in Euclidean space.

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): 0.3200411076598392
- 35 USC 102 Novelty (BERT): 0.5374404330188313
- Combined Prediction Score: 0.3417810401957384
- Mean Citation Score: 238.15829
- Max Citation Score: 392.064
- Similarity Product: 219.23837530517585

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