Geolocation-Based Step-Up Authentication for Fraud Prevention

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Solution Overview

Problem

Existing fraud prevention methods do not consider the geolocation of a user's device, leading to frustrating authentication requirements that can deter users from accessing their accounts, especially when they are outside a known customer geographic region.

Innovation Solution

A system that utilizes machine learning models to determine appropriate authentication methods based on the user's geolocation, selecting from options like near field communication, mobile application verification, email verification, and silent mobile authentication to ensure secure access when the user is outside a known region.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional authentication methods are required for all users regardless of location, then security is improved, but user accessibility and satisfaction deteriorate when users are outside known geographic regions

Engineering Contradiction:
ImprovesecurityVSAvoiduser accessibility
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The authentication system dynamically adapts its requirements based on the user's geolocation. When a user is within their home geographic region, standard authentication is applied. When the user travels outside this region, the system automatically implements step-up authentication methods. This dynamic adjustment maintains security while accommodating user mobility and preventing frustration from inaccessible authentication methods.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

Different authentication methods are applied based on the user's location quality. Within the home region, simple authentication suffices. Outside the home region, enhanced step-up authentication methods are required. This localized approach to authentication quality ensures security is maintained where risks are higher while preserving ease of access where risks are lower.

Inventive Principle:
Principle #3Local quality

2Reliability

If step-up authentication methods are implemented for users outside known regions, then fraud prevention is improved, but system complexity increases

Engineering Contradiction:
Improvefraud preventionVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The authentication system is segmented into multiple levels: standard authentication for normal conditions and step-up authentication for exceptional conditions (travel). This segmentation allows the system to implement enhanced security only where needed, rather than complicating the entire system. The step-up authentication includes multiple independent methods (one-time passwords, biometric verification, device recognition) that can be selected based on specific travel scenarios.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system performs preliminary geolocation checks and user profile analysis before determining which authentication method to apply. By pre-assessing the user's location and travel status, the system can proactively select appropriate authentication methods, reducing the need for complex real-time decision-making during the authentication process itself.

Inventive Principle:
Principle #10Preliminary action

3Reliability

If geolocation-based authentication is implemented, then fraud detection capability is improved, but loss of time occurs during authentication verification

Engineering Contradiction:
Improvefraud detection capabilityVSAvoidauthentication time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system applies partial authentication verification based on the travel context. For short trips or low-risk scenarios, fewer step-up authentication methods are required. For extended travel or high-risk scenarios, more comprehensive verification is applied. This partial action approach maintains fraud detection capability while minimizing unnecessary authentication time for low-risk situations.

Inventive Principle:
Principle #16Partial or excessive action

Solution Approach 2:

The system leverages self-service elements in the authentication process, such as automatic device recognition, pre-configured backup authentication methods, and automated one-time password delivery. These self-service features reduce the time users need to spend on authentication by eliminating manual intervention steps while maintaining security.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20250111373A1Systems and methods for fraud prevention
Publication Date: 2025.04.03 CAPITAL ONE SERVICES LLC
  • US20250111373A1 patent drawing
  • US20250111373A1 patent drawing
  • US20250111373A1 patent drawing

AI summary

Disclosed embodiments may include a method for fraud prevention. The method may include receiving a login request for an account associated with a user and a geolocation of the user device, and determining whether the geolocation of the user device falls outside of a known customer geographic region. In responsive to determining the geolocation of the user falls outside of the known customer geographic region, the method may include transmitting a request for a first step-up authentication information to the user device, receiving, via the user device, the first step-up authentication information using one or more step-up authentication methods, and determining whether the first step-up authentication information matches known first step-up authentication information. In response to determining that the first step-up authentication information matches a known first step-up authentication information, the method may include authorizing the user device to access the account of the user.