Authentication System Using Unique Pattern and PIN Thresholds
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Solution Overview
Problem
Existing authentication systems face challenges in enhancing security levels while minimizing the number of information pieces to be verified against a physical object, often resulting in increased processing loads and verification times.
Innovation Solution
An authentication system that stores unique pattern information and personal identification numbers in association, allowing for the registration and verification of physical objects, with a mechanism to limit the number of records per personal identification number to a threshold, prompting reselection if exceeded, thereby reducing the number of verifications and improving security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple unique pattern information records are stored per personal identification number to improve security, then security level increases, but the number of verifications increases leading to longer processing time
Solution Approach 1:
The system pre-establishes a threshold value for the number of unique pattern information records per personal identification number before authentication occurs. This preliminary configuration allows the system to quickly determine during verification whether to proceed with full verification or reject based on record count alone, significantly reducing verification time while maintaining security through the threshold mechanism
2Reliability
If multiple unique pattern information records are stored per personal identification number to improve security, then security level increases, but processing load increases
Solution Approach 1:
The threshold value is predetermined and stored in the system before authentication operations begin. During verification, the system first checks against this pre-calculated threshold rather than processing all records, dramatically reducing computational load while maintaining security through the threshold-based filtering mechanism
Solution Approach 2:
The system extracts and uses only the essential threshold value from the potentially large set of unique pattern information records. By working with this extracted threshold rather than the complete dataset, the system reduces processing complexity while preserving security through the threshold comparison mechanism
3Reliability
If the number of unique pattern information records per personal identification number is increased to improve security, then security level increases, but the number of information pieces to be verified increases
Solution Approach 1:
The system extracts the essential threshold value that represents the maximum acceptable number of unique pattern information records. During verification, only this extracted threshold (a single numerical value) is compared against the actual record count, rather than processing each individual record, thereby reducing the quantity of information to be verified to a minimum while maintaining security
Solution Approach 2:
The threshold value is pre-calculated and stored before authentication operations. This preliminary action allows the system to replace complex multi-record verification with a simple threshold comparison, reducing the number of information pieces to be verified during actual authentication while maintaining security through the pre-established threshold
Data Source
Figure 1
Figure 2~3
Figure 4A
AI summary
In order to improve security level when performing verification using the uniqueness of a physical object, while narrowing down the number of pieces of information to be verified against information of an object of interest, an authentication server 2 stores, for each of one or more objects to be registered, unique pattern information of a surface of the object to be registered and a personal identification number into a database in association with each other, acquires unique pattern information of a surface of an object to be authenticated which is related to an authentication request, and a personal identification number, extracts, from the database, unique pattern information stored in association with the personal identification number related to the authentication request, and determines whether the extracted unique pattern information includes unique pattern information corresponding to the unique pattern information related to the authentication request.