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 14):
A system for observing device events, the system comprising:\n one or more processors; and a non-transitory machine-readable medium having stored thereon computer-executable instructions to cause the one or more processors to:\n receive a transaction request from a client application for an operating system service, \n determine whether the operating system service, a method associated with the transaction request, and the client application are being observed, \n in response to a determination that the operating system service, the method associated with the transaction request, and the client application are being observed, modify a behavioral vector associated with the client application and process the transaction request, and \n in response to a determination that at least one of the operating system service, the method associated with the transaction request, and the client application are not being observed, process the transaction request without modification of the behavioral vector associated with the client application.

Metadata:
- Claim Count in Document: 48.0
- Percentile: 97.0
- Lexical Diversity: 2.25806
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14913722', '14339809', '13617568', '14488130', '14488126']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2500835489150583
- 35 USC 102 Novelty (BERT): 0.4521815104477625
- Combined Prediction Score: 0.2702933450683288
- Mean Citation Score: 115.150381
- Max Citation Score: 119.220955
- Similarity Product: 90.78781615847618

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