Verification Level Control for Dynamic Authentication
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Continuous authentication and verification management for users who have completed biometric authentication is inefficient and inconvenient, as repeated biometric authentication is required, reducing economic efficiency and user convenience.
Innovation Solution
A verification level control method that sets an abnormal suspicious area based on changes in access frequency within an access permission area, using a history of verification or re-authentication to determine if the user is in an abnormal situation, and performs additional verification processes accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If biometric authentication is performed repeatedly for continuous verification, then security is improved, but user convenience and economic efficiency deteriorate
Solution Approach 1:
The verification system dynamically adjusts the verification level based on the user's access patterns and historical behavior. When abnormal suspicious areas are detected through frequency analysis of access to partial areas, the system automatically increases verification requirements. This dynamic adjustment maintains security while reducing unnecessary verification for normal access patterns, thereby improving user convenience without compromising security.
2Reliability
If verification level is increased for all users, then security is improved, but system complexity and operational costs increase
Solution Approach 1:
The system applies verification measures locally rather than uniformly across all users and all access areas. By identifying abnormal suspicious areas through frequency analysis and applying enhanced verification only to those specific areas, the system maintains high security where needed while keeping the overall system simple and cost-effective. This localized approach avoids the complexity of a universal high-verification system.
Solution Approach 2:
The system changes verification parameters dynamically based on detected access patterns and historical data. When an abnormal suspicious area is identified, the verification level parameter is adjusted for that specific area. This parameter-based control allows flexible security management without requiring complex system restructuring, balancing security requirements with system simplicity.
3Measurement precision
If frequent verification is performed, then detection precision of abnormal situations is improved, but loss of time and productivity decrease
Solution Approach 1:
The system performs verification periodically based on access frequency patterns rather than continuously. By analyzing the frequency of access to partial areas and comparing it with historical verification data, the system identifies abnormal patterns and triggers verification only when necessary. This periodic verification approach maintains high detection precision for abnormal situations while minimizing unnecessary verification time and preserving productivity.
Data Source
AI summary
Provided is a verification level control method, the method comprises checking a history of verification or a history of re-authentication of a verification target, setting an abnormal suspicious area according to a change in frequency of access to a partial area within an access permission area of the verification target, based on the checked verification history or re-authentication history and verifying the verification target by reflecting whether the verification target is located in the set abnormal suspicious area, wherein the re-authentication is performed in an explicit authentication method in which the verification target needs to perform a separate action for the re-authentication.