Multi-Phase Authentication Using Location and User Activity Patterns
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Solution Overview
Problem
Current authentication systems are vulnerable to identity theft and fraud due to reliance on weak passwords, stolen or forged identity cards, and lack of real-time user pattern tracking, leading to billions of dollars in losses and reluctance to use the internet for commerce.
Innovation Solution
A universal, hierarchically-outsourced multi-phased authentication framework with a central global database that uses multiple identity factors, real-time user pattern tracking, and unique global identifiers to enhance security and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If passwords and pin numbers are used for authentication, then ease of operation is improved, but security and reliability deteriorate due to vulnerability to identity theft and fraud
Solution Approach 1:
The authentication process is divided into multiple independent phases: first phase verifies basic identity factors (password/PIN), second phase verifies location-based factors (geofencing), and third phase verifies device-based factors (device binding). Each phase operates independently and can be configured separately, allowing the system to maintain ease of use for legitimate users while providing robust security through layered verification that prevents identity theft and fraud.
2Reliability
If multiple identity factors and real-time user pattern tracking are implemented, then security and reliability are improved, but device complexity and system requirements worsen
Solution Approach 1:
The patent introduces a location-based authentication intermediary service that operates between the user's device and the authentication server. This intermediary handles the complex geofencing calculations, location verification, and real-time pattern analysis through dedicated location servers, separating these complex functions from the main authentication flow. The intermediary abstracts the complexity away from both the user and the core authentication system, providing secure multi-factor verification without overwhelming system complexity at any single point.
3Measurement precision
If real-time user pattern tracking and geofencing are used, then measurement precision of user identity is improved, but loss of information and data processing requirements worsen
Solution Approach 1:
The system implements location-based authentication with varying levels of precision and data collection based on the specific authentication context and user profile. For high-security scenarios, the system activates enhanced geofencing and real-time location tracking with detailed pattern analysis. For low-risk scenarios, the system uses simplified location verification without extensive data collection. This localized quality approach ensures high measurement precision where needed while minimizing data processing overhead and information loss in routine authentication cases.
Data Source
AI summary
An authentication framework wherein a user attempting to sign in or to be authenticated in order to access an electronic system is requested to provide an identify factor that includes an activity, location and/or authentication transaction of said user occurring within a previous time period from the user's current attempt to sign in or to be authenticated.
