Digital Fingerprint Analysis for Multi-Factor Authentication
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Solution Overview
Problem
Two-factor authentication systems are vulnerable to attacks where users unknowingly provide credentials to phishing sites, as they cannot distinguish between legitimate and illegitimate client devices, leading to potential unauthorized access.
Innovation Solution
A multi-factor authentication system that uses digital fingerprints to detect irregular patterns in client devices, generating a concern metric to notify users of suspicious activity, allowing them to confirm whether the login attempt is legitimate, thereby preventing unauthorized access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If two-factor authentication is implemented, then security is improved, but users cannot distinguish between legitimate and illegitimate client devices
Solution Approach 1:
The patent segments the client device identification into multiple independent components: digital fingerprint analysis, device property collection (hardware identifiers, software versions, screen resolution), and behavioral pattern monitoring. Each component independently verifies a specific aspect of device legitimacy, allowing the system to comprehensively distinguish between legitimate and illegitimate devices while maintaining security.
2Reliability
If digital fingerprint analysis is added to detect irregular patterns, then phishing detection is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary actions by collecting device properties and generating digital fingerprints during the initial authentication request phase, before the actual authentication decision is made. This allows irregular patterns to be detected early in the authentication flow, improving phishing detection capability while managing system complexity through proactive rather than reactive analysis.
Solution Approach 2:
The patent introduces an intermediary component - the digital fingerprint analysis module - that sits between the authentication request and the final authentication decision. This intermediary analyzes device properties and behavioral patterns independently, then provides recommendations to the authentication system, thereby improving phishing detection while keeping the overall system architecture modular and manageable.
3Loss of information
If real-time notifications are provided to users, then user awareness is improved, but authentication process time increases
Solution Approach 1:
The system implements self-service by automatically analyzing device fingerprints and generating real-time notifications without requiring user intervention. The digital fingerprint analysis and irregular pattern detection occur autonomously in the background, providing users with security information when needed while minimizing additional authentication time through automated rather than manual processes.
Data Source
AI summary
A method for multi-factor authentication with a first client includes receiving a request associated with the first client, initiating an authentication transaction, generating a digital fingerprint based on a set of client properties collected in association with the first client, identifying a second client from data associated with the authentication transaction, analyzing a digital fingerprint based on a set of stored digital fingerprints; generating a concern metric based on the analysis; and notifying an entity that the login request may have originated from an unauthorized source.