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 19):
A system comprising:\n at least one processor; and a memory storing instructions that, when executed by the at least one processor, cause the system to perform:\n acquiring a first set of data from a first group of data sources including a plurality of network components within an energy delivery network; \n generating, based on the first set of data, a first metric indicating a likelihood that a particular network component, from the plurality of network components, is affected by one or more cyber vulnerabilities; \n acquiring a second set of data from a second group of data sources including a collection of services associated with the energy delivery network; \n generating, based on the second set of data, a second metric indicating a calculated impact to at least a portion of the energy delivery network when the one or more cyber vulnerabilities affect the particular network component; and \n generating, based on the first metric and the second metric, a third metric indicating an overall level of cybersecurity risk associated with the particular network component.

Metadata:
- Claim Count in Document: 48.0
- Percentile: 88.0
- Lexical Diversity: 2.66102
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15711666', '15612381', '15645271', '15820786', '15286990']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2857421295797998
- 35 USC 102 Novelty (BERT): 0.4823453237447425
- Combined Prediction Score: 0.3054024489962941
- Mean Citation Score: 220.471334
- Max Citation Score: 226.39694
- Similarity Product: 177.62107123405335

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