Security Code Encoding Heuristics for User Error Reduction
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Solution Overview
Problem
Existing security codes are prone to user errors during manual entry, leading to frustration and negatively impacting the user experience, as they often require error-detecting or error-correcting mechanisms that increase code length or are limited in their ability to correct mistakes.
Innovation Solution
The implementation of an encoding algorithm that generates security codes based on historical user input data, using a validation entity to identify problematic code constructions and adjust encoding heuristics to reduce the likelihood of user errors by penalizing codes that are commonly mistaken, such as those with symbols easily confused on a QWERTY keyboard layout.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional security codes are used, then code length is short, but user error rate increases
Solution Approach 1:
The patent changes the parameter of code construction by using encoding heuristics that penalize certain code patterns. Instead of using traditional short codes, the system generates codes with specific properties (avoiding easily confused symbols, maintaining sufficient length) that reduce user error while balancing entry difficulty.
Solution Approach 2:
The system implements feedback by analyzing historical user input data to identify problematic code constructions. The encoding algorithm uses this feedback to adjust and penalize codes that are commonly mistaken, continuously improving code reliability based on observed user errors.
2Reliability
If error-detecting or error-correcting mechanisms are added, then user error tolerance improves, but code length increases
Solution Approach 1:
The patent applies preliminary action by proactively designing codes that are inherently less error-prone through encoding heuristics. Instead of adding error-detecting/correcting mechanisms after code generation, the system prevents errors by penalizing problematic code patterns during the generation process itself, avoiding the need for longer codes with validation mechanisms.
3Adaptability or versatility
If codes with easily confused symbols are used, then code diversity increases, but mistake likelihood increases
Solution Approach 1:
The patent applies local quality by making different parts of the code space have different properties. The encoding algorithm penalizes specific local patterns (easily confused symbol combinations) while allowing other parts of the code space to maintain diversity. This creates localized restrictions on problematic patterns while preserving overall code versatility.
Data Source
AI summary
A method and apparatus for encoding security codes are provided. In the method and apparatus a first code, which may be an erroneous code, is compared to a set of codes to identify a code portion. The code portion may be identified as contributing to inducing erroneous entry of the first code. The likelihood associated with issuing a second code including the code portion may be updated to negatively bias issuing the second code.


