PATENT CLAIM ANALYSIS

Application Number: 16116335
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-01
Patent Classification: ["726", "022000"]

Abstract:
Utilities (e.g., methods, systems, apparatuses, etc.) for use in generating and making use of priority scores for data generated by one or more data systems that more accurately prioritize those events and other pieces of data to be addressed by analysts and troubleshooters before others (e.g., collectively taking into account threats posed by origin host components and risks to impacted host components) to work the highest risk events and alarms first and to effectively and efficiently spend their alarm monitoring time.

Claim (Index 1):
A method for use in monitoring data generated by one or more data systems, the method comprising:\n receiving, at a processor over at least one communications network, data generated by one or more data systems; operating the processor to parse from a data field of the data at least one of an origin host identifier associated with an origin host component responsible for initiating an occurrence on the one or more data systems and an impacted host identifier associated with an impacted host component that is affected by an occurrence on the one or more data systems; determining, by the processor, that the at least one of the origin host identifier and impacted host identifier cannot be used to obtain a previously-configured relative risk or threat level for the origin host component or impacted host component from a database of known hosts and corresponding previously-configured relative risk or threat levels; obtaining, by the processor, a substitute relative risk or threat level for the origin host component or impacted host component using the at least one of the origin host identifier and impacted host identifier, wherein the obtaining includes using the at least one of the origin host identifier and impacted host identifier to obtain at least one default threat level for the origin host component or impacted host component, wherein the substitute relative risk or threat level is the at least one default risk or threat level, wherein the at least one default risk or threat level is one or more first default threat levels when the at least one of the origin host identifier and impacted host identifier is the origin host identifier, and wherein the at least one default risk or threat level is one or more second default risk levels when the at least one of the origin host identifier and impacted host identifier is the impacted host identifier; inferring, by the processor, whether the at least one of the origin host identifier and impacted host identifier identifies an internal host or an external host, wherein the inferring includes obtaining a heading of the data field and determining that the at least one of the origin host identifier and impacted host identifier identifies an internal host or an external host based on the obtained heading, wherein the at least one default risk or threat level is obtained based on a result of the inferring, wherein the one or more first default threat levels includes an external host default threat level for when the origin host component is inferred to be an external host and an internal host default threat level for when the origin host component is inferred to be an internal host, and wherein the one or more second default risk levels includes an external host default threat level for when the impacted host component is inferred to be an external host and an internal host default threat level for when the impacted host component is inferred to be an internal host; and generating, with the processor, a risk based priority score for the data with the substitute relative risk or threat level.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 96.0
- Lexical Diversity: 1.46032
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15187947', '15952484', '14473920', '12627706', '15952443']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2326346026370124
- 35 USC 102 Novelty (BERT): 0.5655675118221801
- Combined Prediction Score: 0.2659278935555292
- Mean Citation Score: 202.97058
- Max Citation Score: 469.8296
- Similarity Product: 374.7776334484577

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