Machine-Learning User Authentication With Blockchain Audit Trails
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Solution Overview
Problem
Existing user authentication methods are prone to abuse and fail to provide a safe, secure, timely, and immutably auditable authentication process, vulnerable to data breaches, stolen devices, SIM swapping, viruses, and deep fakes.
Innovation Solution
A method and system utilizing machine learning models to analyze authentication prompts and data from user devices, generating an authentication status, and storing it on a blockchain for immutably auditable authentication sessions, incorporating facial recognition, gesture matching, and geolocation verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multi-factor authentication is implemented, then security is improved, but user experience and reliability are worsened due to network jamming and accidental approvals
Solution Approach 1:
The patent introduces an intermediary authentication system that mediates between the user and the service provider. This intermediary verifies authentication requests and manages the authentication flow, preventing both network jamming attacks and accidental approvals by ensuring that only valid, user-initiated authentication attempts are processed.
Solution Approach 2:
The patent implements feedback mechanisms where the authentication system provides real-time status information to users and service providers. This feedback loop allows users to confirm or cancel authentication requests before they are finalized, preventing accidental approvals while maintaining security through proper verification.
2Ease of operation
If traditional authentication methods are used, then ease of operation is maintained, but security is worsened due to vulnerabilities to data breaches, stolen devices, SIM swapping, viruses, and deep fakes
Solution Approach 1:
The patent segments the authentication process into multiple independent verification stages, each addressing specific security vulnerabilities. Different authentication methods are applied segmentedly based on the type of service being accessed and the detected risk level, maintaining simplicity for low-risk operations while providing enhanced security for high-risk scenarios.
Solution Approach 2:
The patent dynamically changes authentication parameters such as the required authentication factors, verification methods, and security checks based on contextual factors like device status, network conditions, and user behavior patterns. This allows the system to maintain ease of operation under normal conditions while automatically enhancing security when vulnerabilities are detected.
3Productivity
If authentication is performed only once at access attempt, then productivity is improved, but reliability is worsened due to lack of continuous verification
Solution Approach 1:
The patent implements periodic authentication verification at key checkpoints during user sessions rather than continuous verification. This periodic re-authentication maintains productivity by not requiring constant verification while ensuring reliability by periodically confirming user identity and device status, detecting compromises such as stolen devices or SIM swapping attempts.
Data Source
AI summary
The present disclosure provides a method of facilitating authenticating of users. Further, the method includes initiating, using a processing device, an authentication session for a user for an authentication instance. Further, the method includes identifying, using the processing device, authentication prompts for the authenticating of the user based on the initiating. Further, the method includes transmitting, using a communication device, the authentication prompts to user devices. Further, the method includes receiving, using the communication device, data in response to the authentication prompts from the user devices. Further, the method includes analyzing, using the processing device, the data using machine learning models. Further, the method includes generating, using the processing device, an authentication status for the user based on the analyzing. Further, the method includes terminating, using the processing device, the authentication session based on the generating. Further, the method includes storing, using a storage device, the authentication status.