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 21):
The method of  claim 1 , wherein the steps of (a) detecting the event occurring in the operating system associated with execution of the software process, and (b) registering the detected event and obtaining the context of the event associated with execution of the software process, and (c) generating the convolution of the event based on one or more identified features of the event, are performed by the computing device as a client of a client-server system,\n wherein the steps of (d) determining the popularity of the generated convolution of the event using the comparison module, and (e) classifying the detected event as anomalous in response to determining that the popularity of the generated convolution is below a threshold value, are performed by a server of the client-server system, and wherein the generated convolution is obtained by the server from the agent on the client.

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): 0.3172200747275101
- 35 USC 102 Novelty (BERT): 0.5408313717267548
- Combined Prediction Score: 0.3395812044274346
- Mean Citation Score: 238.15829
- Max Citation Score: 392.064
- Similarity Product: 304.6766371078492

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