Authentication Framework With User-Pattern Analysis and Phased Verification
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Solution Overview
Problem
Current authentication systems are vulnerable to identity theft and fraud due to reliance on static passwords, stolen credit cards, and forged identity documents, leading to billions of dollars in losses and a reluctance to use the internet for commerce, with a need for stronger authentication in commerce, personal security, and border security.
Innovation Solution
An authentication framework comprising a Client and a Central Global Database that uses multiple phases of identity verification, including real-time user pattern analysis and additional factors, to enhance security and reduce fraud.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple identity factors and real-time pattern analysis are implemented, then authentication security is improved, but system complexity increases
Solution Approach 1:
The authentication system is divided into multiple independent components: local client devices that collect identity factors, a central global database that stores authentication data, and real-time analysis modules that evaluate user patterns. This segmentation allows each component to specialize in specific tasks, improving overall security while managing complexity through modular design.
Solution Approach 2:
The patent introduces intermediary elements such as authentication agents and pattern analysis intermediaries that mediate between users and the authentication system. These intermediaries handle complex analysis tasks and communicate simplified results, reducing the complexity burden on the overall system while maintaining high security standards.
2Reliability
If real-time user pattern analysis is performed, then fraud detection capability is improved, but processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-collecting and storing user authentication patterns, behavior baselines, and device characteristics in the global database before actual authentication events. This pre-processing allows real-time authentication to rely on pre-computed data, significantly reducing processing time while maintaining high fraud detection capability.
Solution Approach 2:
The patent implements partial action by selectively applying real-time pattern analysis only when fraud risk indicators are present or when authentication requirements demand higher verification levels. For low-risk scenarios, simplified authentication paths are used, reducing processing time while maintaining security through targeted analysis.
3Adaptability or versatility
If a central global database is implemented, then authentication universality is improved, but data security risks increase
Solution Approach 1:
The database architecture is segmented into distributed nodes and layered structures, with sensitive data stored in encrypted form across multiple locations rather than in a single centralized repository. This segmentation reduces the impact of potential security breaches while maintaining universal authentication capability through the coordinated network of database segments.
Solution Approach 2:
The system implements beforehand cushioning through multiple security layers including encryption, access controls, and anomaly detection mechanisms that are pre-configured in the global database. These protective measures are established in advance to cushion against potential security threats, allowing the universal authentication system to operate with reduced data security risks.
Data Source
AI summary
An authentication framework includes client and central evaluation of user identity factors. A central global database can be configured to utilize prior authentications, user patterns, and third-party resources to assess current sign-in attempts. When no flags exist—such as by way of example when recent authentications are confirmed—additional identity factors are not requested. When flags exist, the system requests further identity factors. The framework can be configured to support phased authentication, central storage of user information, and synchronization among databases, and for use with existing authentication infrastructure.