Multi-factor Authentication via Collaboration App Biometrics
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Solution Overview
Problem
Existing multi-factor authentication systems face challenges in capturing high-quality facial and vocal recognition data, especially when users are engaged with secondary devices, leading to reduced authentication confidence.
Innovation Solution
Integrating data from collaboration applications into multi-factor authentication systems to enhance the quality and consistency of facial, vocal, and behavioral recognition data, thereby improving user authentication confidence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multi-factor authentication uses a dedicated authentication device, then authentication security is improved, but the quality of facial and vocal recognition data deteriorates when users are engaged with secondary devices
Solution Approach 1:
The patent merges the authentication system with collaboration applications (video conferencing, voice calls) that users are already engaged with on secondary devices. By integrating authentication capabilities into these existing communication tools, the system captures facial and vocal data in a natural usage context, maintaining both security and data quality simultaneously.
Solution Approach 2:
The authentication system is designed to function across multiple device types and contexts - it can operate on dedicated authentication devices, smartphones, and through collaboration applications. This multi-functionality allows the system to adapt to different usage scenarios and capture high-quality biometric data regardless of which device or application the user is engaged with.
2Ease of operation
If users engage with secondary devices during authentication, then ease of operation is improved, but authentication confidence deteriorates due to reduced data quality
Solution Approach 1:
The system leverages the collaboration application that the user is already using for communication purposes. The authentication process occurs naturally during the user's existing interaction with the application, without requiring the user to switch devices or applications. The system self-captures biometric data during normal usage, maintaining both convenience and authentication confidence.
Solution Approach 2:
The authentication process is integrated into the continuous flow of collaboration application usage. Rather than interrupting the user's workflow to perform separate authentication actions, the system continuously captures and processes biometric data during the ongoing communication session, ensuring both ease of operation and reliable authentication.
Data Source
AI summary
Disclosed are methods, systems, and non-transitory computer-readable media for utilizes a collaboration application to provide data beneficial to the authentication of the user. The present application discloses receiving at least one item of personal identifying information for a user from a primary multi-factor authentication device. The present application further discloses receiving at least one item of personal identifying information for a user from a conferencing service in which the user is engaged in a conference. The present application also discloses determining whether to authenticate the user based on the items of personal identifying information from the primary multi-factor authentication device and from the conferencing service.