PATENT CLAIM ANALYSIS

Application Number: 16040340
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-12
Patent Classification: ["726", "004000"]

Abstract:
Systems, devices, apparatuses, and methods of the present invention distribute authentication across multiple users. A data sensitivity model can define the sensitivity of different types of data. When an application requests access to a particular data item, the sensitivity of that data item can be determined. If the data item has a low sensitivity, access to the data item can be granted, if the data item has a high sensitivity, the system can request authentication before granting access to-the data item.

Claim (Index 21):
A method comprising:\n receiving, by a mobile device, a request from a user to access data for an application executing on the mobile device; dynamically determining, by the mobile device, a data sensitivity level associated with the data for the application that is requested, wherein the dynamically determining the data sensitivity level associated with the data comprises:\n analyzing, by an access decision engine of the mobile device, at least one of access control data for the requested data, data sensitivity level definitions for the requested, or event log information for the requested data; \n determining, by the mobile device, an authentication level associated the user requesting the data; determining, by the mobile device, whether an authentication level of the user is in accordance with the data sensitivity level associated with the data; and in response to determining whether the authentication level of the user satisfies the data sensitivity level associated with the data, granting or denying access to the requested data.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 95.0
- Lexical Diversity: 1.95745
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14303461', '13051679', '13555905', '13570816', '14815643']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2238703371519119
- 35 USC 102 Novelty (BERT): 0.5123894204254789
- Combined Prediction Score: 0.2527222454792686
- Mean Citation Score: 183.814248
- Max Citation Score: 297.2043
- Similarity Product: 243.26290119513268

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