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 13):
The method of  claim 12 , wherein the transformation includes at least one of quantization of the selected features, sorting the selected features, merging the selected features, pasting, grouping the selected features, configuring data sets of the selected features, table substitution of values, calculating values of the selected features, data encoding of the selected features, and normalization of the selected features.

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): 0.3188276662956898
- 35 USC 102 Novelty (BERT): 0.5388975146069361
- Combined Prediction Score: 0.3408346511268145
- Mean Citation Score: 238.15829
- Max Citation Score: 392.064
- Similarity Product: 255.93903790283204

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