Seed Derivation Error Detection in Authentication Tokens
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Solution Overview
Problem
Conventional authentication systems are burdensome in detecting and replacing defective tokens, requiring multiple unsuccessful authentication attempts and manual administrator intervention.
Innovation Solution
An improved technique that provides error detection and correction capabilities by determining and potentially recreating corrupted seed records within the authentication system, allowing for self-repair and minimizing the need for manual token replacement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional authentication systems detect defective tokens through multiple unsuccessful authentication attempts, then token reliability can be monitored, but user burden and system complexity increase significantly
Solution Approach 1:
The system performs preliminary verification of the seed record by regenerating the derived seed before it is used for authentication. This advance check prevents defective tokens from reaching the authentication stage, eliminating the need for multiple unsuccessful attempts and reducing user burden while maintaining reliability monitoring.
Solution Approach 2:
The system automatically detects and handles defective tokens through the seed verification mechanism without requiring manual administrator intervention. The automated process reduces both user burden and system complexity by eliminating manual token replacement procedures.
2Reliability
If manual administrator intervention is required to replace defective tokens, then security control is maintained, but system productivity and user convenience decrease
Solution Approach 1:
The system automatically verifies seed records and handles defective tokens through the regeneration and comparison process, eliminating the need for manual administrator intervention. This maintains security control through automated verification while significantly improving system productivity by removing manual replacement steps.
Solution Approach 2:
The system implements a feedback mechanism where the regenerated derived seed is compared with the stored value to automatically identify defective tokens. This closed-loop verification maintains security control while improving productivity by enabling automated defect detection and handling.
3Reliability
If seed records are verified through regeneration and comparison, then error detection capability is improved, but computational overhead increases
Solution Approach 1:
The seed verification process is performed preliminarily before authentication, regenerating the derived seed from the seed record and comparing it with the stored value. This advance verification improves error detection capability while the computational overhead is minimized by performing the operation only once during seed setup rather than repeatedly during authentication.
Data Source
AI summary
A technique carries out seed (or key) derivation within an electronic apparatus (e.g., a hand holdable electronic apparatus such as a token, an authentication server, etc.). The technique involves acquiring a stored representation of a derived seed, the stored representation of the derived seed resulting from an earlier-performed cryptographic operation based on a higher-level seed. The technique further involves (i) performing a current cryptographic operation based on a stored representation of the higher-level seed, the current cryptographic operation resulting in a current representation of the derived seed, and (ii) providing a corruption detection signal indicating whether the current representation of the derived seed matches the stored representation of the derived seed.