PATENT CLAIM ANALYSIS

Application Number: 16246974
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["705", "050000"]

Abstract:
Two user-authenticated sessions are compared between two different servers or users of two different financial institutions. Based on comparisons of sanitized key press timings, position or motion-related inputs, and other inputs it is determined that the sessions were/are with a same user. When this user is identified as a fraudulent actor or malfeasant with one server or banking institution, this data is shared, without sharing confidential information, with the other server or financial institution so that despite a lack of identifying the user himself/herself, the second server or financial institution can modify data sent to this user to prevent fraud and unauthorized access to data of another.

Claim (Index 11):
A method of determining that a user of a web server is unauthorized to access a user account despite having a username and password associated therewith, said method carried out by:\n recording timing and entry of at least text and position-related inputs; anonymizing said text; sending said recording modified by said anonymizing to a third party server; receiving an indication that said recording matches data associated with a user indicated to have committed or likely to have committed fraud; modifying further delivery of data to said user as a result of said indication.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 99.0
- Lexical Diversity: 1.65714
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['11862165', '11648066', '15194593', '13188128', '12732034']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1221947452321437
- 35 USC 102 Novelty (BERT): 0.4932166941129047
- Combined Prediction Score: 0.1592969401202199
- Mean Citation Score: 167.173176
- Max Citation Score: 171.99933
- Similarity Product: 104.8085035331118

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

Dataset: test