Login Credentials Identification via Positional Analysis
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Solution Overview
Problem
Current login management utilities face challenges in accurately identifying login credentials on web pages due to the lack of specific HTML field types for non-password information, leading to inaccurate text-based identification methods that require extensive and labor-intensive keyword databases to account for various languages and terms.
Innovation Solution
A login credentials identification component uses positional analysis to determine the relative positions of text entry fields, identifying password entry fields and their preceding text entry fields as user name fields, supplemented by keyword and clarification databases for enhanced accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If text-based analysis is used to identify login fields, then identification can be performed without specific HTML field types, but accuracy deteriorates due to language variations and lack of standardized terms
Solution Approach 1:
The patent segments the identification task into two independent parts: (1) identifying password entry fields using HTML field type analysis, and (2) identifying user name entry fields using positional relationship analysis. This segmentation allows each method to specialize in its strength, with HTML analysis providing precision for password fields and positional analysis providing versatility for user name fields across different languages.
Solution Approach 2:
The patent introduces positional relationship analysis as an intermediary method that bridges the gap between HTML field type analysis and text-based identification. By using the spatial position of fields relative to each other (particularly the relationship between user name and password fields), the system can accurately identify login fields without relying on language-specific keywords, thus improving accuracy while maintaining adaptability.
2Adaptability or versatility
If keyword databases are used to identify login fields in different languages, then multilingual support is improved, but database maintenance complexity increases due to the need to update every language and term
Solution Approach 1:
The patent extracts the language-independent positional relationship feature from the text-based identification process. Instead of relying on language-specific keywords that require database maintenance, the system uses the consistent spatial positioning of user name and password fields, which remains unchanged across different languages. This extraction eliminates the need for extensive multilingual keyword databases while maintaining broad language support.
Solution Approach 2:
The positional relationship analysis method is self-service in nature, requiring no external database or configuration files. The system automatically identifies login fields by analyzing the inherent spatial relationships between fields on the webpage, eliminating the need for manual database updates or maintenance. This approach provides universal multilingual support without any maintenance overhead.
3Ease of manufacture
If proximate text analysis is used to identify login fields, then implementation simplicity is improved, but reliability deteriorates due to inaccurate identification across different languages and terms
Solution Approach 1:
The patent merges two identification approaches: HTML field type analysis for password entries and positional relationship analysis for user name entries. This combination leverages the simplicity of HTML parsing while adding the reliability of positional analysis, achieving both ease of implementation and high accuracy. The merged approach handles various login field configurations across different languages without requiring complex keyword databases.
Data Source
AI summary
A login credentials identification component uses analysis of the relative positions of text entry fields to identify login credentials on a web page. The login credentials identification component identifies both a password entry field on a web page, and the text entry field immediately preceding the identified password entry field. The login credentials identification component uses the positional relationship between the identified password entry field and the immediately preceding text entry field, as well as other supplemental factors, to determine that the identified text entry field immediately preceding the password entry field comprises a user name entry field.