PATENT CLAIM ANALYSIS

Application Number: 15891630
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-02
Patent Classification: ["726", "025000"]

Abstract:
The disclosed technology can acquire a first set of data from a first group of data sources including a plurality of network components within an energy delivery network. A first metric indicating a likelihood that a particular network component, from the plurality of network components, is affected by cyber vulnerabilities can be generated based on the first set of data. A second set of data can be acquired from a second group of data sources including a collection of services associated with the energy delivery network. A second metric indicating a calculated impact on at least a portion of the energy delivery network when the cyber vulnerabilities affect the particular network component can be generated based on the second set of data. A third metric indicating an overall level of cybersecurity risk associated with the particular network component can be generated based on the first metric and the second metric.

Claim (Index 17):
The computer-implemented method of  claim 1 , wherein the third metric is generated based on utilizing one or more machine learning processes to determine how the first metric and the second metric are to be combined to produce the third metric.

Metadata:
- Claim Count in Document: 48.0
- Percentile: 88.0
- Lexical Diversity: 2.66102
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15711666', '15612381', '15645271', '15820786', '15286990']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3057761585424452
- 35 USC 102 Novelty (BERT): 0.5084842539465757
- Combined Prediction Score: 0.3260469680828582
- Mean Citation Score: 220.471334
- Max Citation Score: 226.39694
- Similarity Product: 129.86025789945722

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

Dataset: test