Password Warning Logic for Predictable User-Derived Passwords
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Solution Overview
Problem
Existing password systems fail to adequately assess the guessability of passwords based on user-specific information, leading to easy breaches due to common transformations and lack of user creativity, making them vulnerable to fraudsters.
Innovation Solution
A password security warning system utilizing an artificial neural network trained on typical transformations, combinations, and blacklisted passwords to identify predictable or weak passwords, providing real-time warnings or restrictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users are required to incorporate special characters and increase password complexity, then password strength is improved, but passwords become more predictable and easier to guess through common transformations
Solution Approach 1:
The system performs preliminary analysis of password predictability by generating possible password variations using common transformation rules (e.g., replacing letters with special characters, leet speak substitutions) before the user submits the password. This allows the system to warn users in advance about predictable passwords and suggest stronger alternatives, preventing weak passwords from being set in the first place.
Solution Approach 2:
The system provides immediate feedback to users about the strength and predictability of their chosen password. By displaying warnings about common transformations and showing how their password compares against generated variations, users receive real-time guidance to improve their password choices, creating a feedback loop that enhances overall password security.
2Device complexity
If traditional password assessment methods are used that only check length and complexity, then implementation is simple, but passwords with predictable patterns are not detected
Solution Approach 1:
The system introduces an intermediary layer between password submission and acceptance that generates possible password variations using common transformation rules. This intermediary process acts as a mediator to evaluate whether the submitted password is likely to be guessed by generating and comparing against variations such as leet speak substitutions, character replacements, and common pattern modifications.
Solution Approach 2:
The system changes the evaluation parameters from simple length and complexity checks to include predictability assessment. By generating multiple possible variations of the submitted password and comparing against a database of common passwords and patterns, the system evaluates security based on predictability rather than just structural complexity, significantly improving detection accuracy.
Data Source
AI summary
Various embodiments are directed to a password security warning system. An artificial neural network or other types of models may be used to determine whether a password that is created, input, or proposed by a user via an interface includes one or more predictable or typical transformations or combinations of characters derived from user-specific information. Based on the determination, a warning may be provided to the user.


