PATENT CLAIM ANALYSIS

Application Number: 16141268
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-04
Patent Classification: ["726", "023000"]

Abstract:
Systems and methods observe and classify device events. A model containing a set of features to be observed can be determined based on machine learning and training methods. A client application can issue a transaction request to an operating system service. A determination can be made whether the operating system service, a method associated with the transaction request, and the client application are currently being observed. In response to determining that the operating system service, a method associated with the transaction request, and the client application are being observed, a behavioral vector associated with the client application can be modified to indicate that the feature represented by the method is associated with the client application. The behavioral vector can be used to determine if the client application is malware.

Claim (Index 3):
The method of  claim 2 , wherein the transaction request is associated with a feature in the set of features to be observed, and wherein modifying the behavioral vector associated with the client application comprises setting a value in the behavioral vector to indicate that the method associated with the transaction request has been invoked.

Metadata:
- Claim Count in Document: 48.0
- Percentile: 97.0
- Lexical Diversity: 2.25806
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14913722', '14339809', '13617568', '14488130', '14488126']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2671280592350621
- 35 USC 102 Novelty (BERT): 0.4816259601605731
- Combined Prediction Score: 0.2885778493276132
- Mean Citation Score: 115.150381
- Max Citation Score: 119.220955
- Similarity Product: 74.2179227514273

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

Dataset: test