Dynamic Authentication Scoring for Access Control
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Solution Overview
Problem
Current authentication systems using facial recognition and multi-factor authentication can be inflexible and require unobscured faces, high-resolution images, and close proximity, leading to friction and inefficiencies in access control.
Innovation Solution
A system that dynamically adjusts identification scores based on user information, such as scheduling, biometric, and sensor data, allowing for seamless authentication by assigning scores and adjusting requirements to meet pre-determined thresholds, reducing the need for active user interaction and enhancing security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional facial authentication is used, then security is improved, but user convenience deteriorates due to requirements for unobscured faces, high-resolution images, and close proximity
Solution Approach 1:
The authentication requirements are made dynamic rather than static. The system adjusts the level of authentication required based on real-time factors such as user behavior, environment, and risk assessment. This allows the system to maintain high security when needed while providing convenient access when conditions permit, resolving the contradiction between security and convenience.
Solution Approach 2:
The system changes the parameters of authentication by using multiple data types (biometric, behavioral, contextual) and adjusting authentication thresholds dynamically. Instead of requiring fixed conditions like unobscured faces, the system adapts its requirements based on the overall risk profile and available information, maintaining security while improving user experience.
2Reliability
If multi-factor authentication is implemented, then authentication security is improved, but system complexity increases
Solution Approach 1:
The system merges multiple authentication factors and data sources into a unified scoring mechanism. Instead of treating each factor separately, the system combines biometric data, behavioral patterns, contextual information, and risk assessments into a single authentication score that determines access. This consolidation reduces the apparent complexity while maintaining the security benefits of multi-factor authentication.
Solution Approach 2:
The authentication system is designed to handle multiple types of authentication data through a single framework. The same system processes biometric verification, behavioral analysis, contextual risk assessment, and access authorization decisions uniformly, reducing the complexity that would arise from separate systems for each function.
3Device complexity
If static authentication requirements are used, then system simplicity is maintained, but adaptability to different situations deteriorates
Solution Approach 1:
The authentication requirements transition from static to dynamic based on real-time conditions. The system continuously monitors user behavior, environmental factors, and risk indicators to adjust authentication thresholds and requirements. This dynamic approach allows the system to adapt to different situations while maintaining a relatively simple underlying architecture through centralized decision logic.
Data Source
AI summary
Systems and methods for managing access point authentication requirements are disclosed. In some embodiments, a system comprises at least one processor and memory storing instructions executable by the at least one processor. In some embodiments, the instructions when executed cause the system to obtain a partial identification for a user at an access point; obtain user information related to the user; assign an identification score to the user, the identification score based on the obtained partial identification and the user information; and authenticate the user at the access point responsive to the identification score reaching a pre-determined identification score threshold.