PATENT CLAIM ANALYSIS

Application Number: 16287035
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-08
Patent Classification: ["719", "318000"]

Abstract:
The present invention extends to methods, systems, and computer program products for storing and validating the integrity of event related information. To facilitate auditing and traceability, raw signals, normalized signals, detected events, event expirations, and event notifications can be stored in a queryable distributed ledger (e.g., a blockchain). Personal information can be stripped (or otherwise rendered inert, for example, unrecognizable, unreproducible, etc.) prior to storage into the distributed ledger minimizing the possibility of a person being identified. Ledger data can be used to verify actual data as well as for forensics purposes, such as, to audit data, recreate events, etc., in view of an error or inconsistency to investigate, diagnose, remediate, etc.

Claim (Index 11):
A method comprising:\n stripping personal information from a raw signal forming a stripped raw signal; store the stripped raw signal in a Blockchain; accessing an event notification notifying an entity of an event detected from a normalized signals normalized from the raw signal; verifying the integrity of the normalized signal and the event, including:\n accessing the stripped raw signal from the Blockchain; \n simulating normalizing the stripped raw signal into a simulated normalized signal; \n comparing the normalized signal to the simulated normalized signal; \n simulating detection of a simulated event from the normalized signals; and \n comparing the event to the simulated event; and \n allocating an entity resource of the entity based on the event notification and based on the integrity verification.

Metadata:
- Claim Count in Document: 30.0
- Percentile: 99.0
- Lexical Diversity: 1.6988
- Patent Class: 719.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16121847', '16038537', '16238782', '16121917', '16106530']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4853685372171218
- 35 USC 102 Novelty (BERT): 0.5134833665330117
- Combined Prediction Score: 0.4881800201487108
- Mean Citation Score: 189.729778
- Max Citation Score: 304.43173
- Similarity Product: 240.74246341919425

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