PATENT CLAIM ANALYSIS

Application Number: 16290678
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-06
Patent Classification: ["726", "004000"]

Abstract:
Techniques are disclosed relating to automating permission requests, e.g., in the context of multi-factor authentication. A mobile device may allow a user to automate responses to future permission requests for multi-factor authentication procedures. The mobile device may automatically respond to subsequent permission requests based on one or more automation criteria. Authorized actions may include login, transaction approval, physical access, vehicle ignition, account recovery, etc. The automation criteria may include location, acceleration, velocity, wireless connectivity, proximity to another device, temperature, lighting, noise, time, biometrics, altitude, pressure, image characteristics, etc. Disclosed techniques may increase authorization security while reducing user interaction for multi-factor authentication, in some embodiments.

Claim (Index 1):
A non-transitory computer-readable medium having computer instructions stored thereon that are capable of causing a mobile device to perform operations comprising:\n processing a received permission request as an authentication factor in a multi-factor authentication procedure initiated by another device; determining that one or more automation criteria are met based on current values of one or more parameters determined by the mobile device; and in response to the determining, automatically granting or denying the permission request without receiving user input indicating whether to grant or deny the permission request.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 99.0
- Lexical Diversity: 1.65823
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14849323', '14849312', '14849352', '14071637', '14940868']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3033450550144647
- 35 USC 102 Novelty (BERT): 0.4946704176242051
- Combined Prediction Score: 0.3224775912754388
- Mean Citation Score: 270.54650000000004
- Max Citation Score: 291.31915
- Similarity Product: 270.0014332932054

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

Dataset: test