Information Processing Device with Dual-Stage Impersonation Detection
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Solution Overview
Problem
Existing impersonation detection technologies in biometric authentication systems reduce system throughput and require significant computing resources, leading to inefficiencies and increased processing loads.
Innovation Solution
An information processing device that includes a first determination for unauthorized authentication and a second determination for suspiciousness, allowing immediate gate access while locking payment accounts for suspected impersonation, and subsequent monitoring to confirm or clear suspicions using multiple cameras and behavioral analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If impersonation detection is introduced to improve security, then security strength is improved, but system throughput is reduced
Solution Approach 1:
The authentication system is segmented into two independent pathways: a fast authentication pathway for normal users that maintains high throughput, and a suspicious user detection pathway that performs comprehensive impersonation detection. This segmentation allows the system to improve security for suspicious cases without bottlenecking overall system throughput.
Solution Approach 2:
The system performs preliminary authentication to quickly verify legitimate users before they encounter any security checks. Only after this preliminary validation does the system engage in more resource-intensive impersonation detection, ensuring that security measures are applied selectively rather than to all users, thereby maintaining throughput while improving security.
2Reliability
If fraud determination is performed for all users after e-learning, then security is improved, but computing resources are excessively consumed
Solution Approach 1:
The system applies different levels of detection intensity to different users based on their risk profiles. High-risk users undergo comprehensive impersonation detection with multiple verification methods, while low-risk users experience streamlined authentication. This local differentiation of detection quality ensures high fraud detection accuracy for suspicious cases while conserving computing resources for the majority of legitimate users.
Solution Approach 2:
Instead of performing full fraud determination for all users, the system performs partial authentication for most users and reserves excessive (comprehensive) detection actions only for suspicious cases. This partial action approach maintains adequate security for the majority while avoiding the excessive computing resource consumption that would result from universal comprehensive detection.
3Reliability
If multiple determination steps are added to detect unauthorized authentication, then security is improved, but processing time is increased
Solution Approach 1:
The authentication system dynamically adjusts the number and type of determination steps based on real-time risk assessment. For low-risk authentication attempts, the system uses fewer determination steps to minimize processing time. When indicators of unauthorized authentication are detected, the system dynamically increases the number of determination steps. This dynamic adaptation allows the system to improve unauthorized authentication detection when necessary while maintaining fast processing for normal cases.
Data Source
AI summary
An information processing device includes at least one processor; and a memory coupled to the at least one processor, the memory storing instructions that, when executed by the at least one processor, cause the at least one processor to: acquire first data, authenticate a person based on the first data, perform a first determination of whether a person to be authenticated by the authentication is attempting the unauthorized authentication, and perform, in a case where it is determined that the unauthorized authentication is being attempted in the first determination, a second determination of whether the person to be authenticated is a suspicious person.