PATENT CLAIM ANALYSIS

Application Number: 16400790
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-11
Patent Classification: ["726", "030000"]

Abstract:
Non-limiting examples of the present disclosure relate to generation and implementation of a new security protocol that is used to secure common data access transactions across distributed network examples. An exemplary proof of verification protocol is disclosed that implements consensus security mechanisms across a plurality of distributed nodes, which may be utilized to validate owners of data in common data access transactions. Extending principles of blockchain security to common data access transactions and Internet of Things (IOT) networking requires a solution that: improves speed in transactional processing; reduces computational complexity; and presents efficient, secure and repeatable validation for owners of data in distributed networking environments. An exemplary proof of verification protocol provides such technical advantages by validating both user-specific data for a subscriber of an application/service and session data for user activity (past and present) within the application/service.

Claim (Index 6):
The method of  claim 4 , wherein the validations of the session data, by other virtual nodes of the plurality of virtual nodes, comprises matching characteristics of a current session of the subscriber with characteristics of previous sessions by the subscriber.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 1.73563
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16176827', '16361256', '15913383', '16249647', '16176864']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2484496219683802
- 35 USC 102 Novelty (BERT): 0.5185611752317528
- Combined Prediction Score: 0.2754607772947175
- Mean Citation Score: 187.64762
- Max Citation Score: 199.55928
- Similarity Product: 104.06654683053014

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