PATENT CLAIM ANALYSIS

Application Number: 16215174
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
Patent Classification: ["726", "028000"]

Abstract:
A security framework and methodology is provided which provides front-end security through authentication and authorization, and back-end security through a virtual private data-store created within an insecure environment using existing object-relational mapping (ORM) layers or database drivers. The front-end security utilizes numerous multi-factor authentication metrics and a distributed denial of service (DDoS) cryptographic boundary to proactively attack malicious users using a cryptographic puzzle, and the back-end security provides data encryption and decryption, data privacy, data integrity, key management, pattern monitoring, audit trails and security alerts while simultaneously hiding the complexity behind an identical or similar ORM or database drive application programming interface (API).

Claim (Index 1):
A technical system for securing application data, the system comprising:\n a multifactor authentication (MFA) server performing a plurality of user and client authentications; a distributed denial of service (DDoS) protection server sending cryptographic puzzles to requesting clients; and an application sewer hosting a virtual private data-store for application data, the application server comprising:\n a data security module (DSM) which routes all data flowing into and out of the application, wherein the DSM operates under an objection relational mapping (ORM) layer, and \n a DSM-ORM adaptor which routes and maps data flowing from the DSM to the ORM.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 98.0
- Lexical Diversity: 1.49367
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14719306', '14158210', '15813943', '12603236', '15986874']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2376644179546793
- 35 USC 102 Novelty (BERT): 0.5088290032960888
- Combined Prediction Score: 0.2647808764888202
- Mean Citation Score: 138.11720359999998
- Max Citation Score: 297.28262
- Similarity Product: 229.4878165807724

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

Dataset: test