Web Hosting Error Processing with Anonymized Feedback and Adaptive Security
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Solution Overview
Problem
Conventional error handling systems for web applications are inefficient due to lack of anonymity in feedback collection, requiring extensive resources for error correction and failing to adapt security policies based on user data, which discourages users from revealing system configurations.
Innovation Solution
A method and system for processing run-time error messages that encrypts user data, uses a knowledge database to provide error solutions, and updates security policies based on error frequency, allowing users to receive recommendations without exposing private information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional error handling systems collect user feedback without anonymity, then error correction effectiveness is reduced, but system complexity and resource requirements increase
Solution Approach 1:
The patent introduces an intermediary error handling system that acts as a mediator between users and developers. This system collects error reports anonymously through a centralized platform, processes them automatically, and provides feedback without requiring direct user-developer interaction. The intermediary nature reduces system complexity while maintaining or improving error correction effectiveness through automated analysis and anonymous reporting mechanisms.
Solution Approach 2:
The patent implements automated feedback loops where error reports are collected, analyzed, and processed systematically. The system provides immediate feedback to users about error status and resolution progress, while automatically forwarding relevant information to developers. This structured feedback mechanism improves error correction effectiveness without increasing overall system complexity through automation.
2Reliability
If conventional error handling systems require extensive developing staff for error corrections, then error correction quality improves, but productivity decreases
Solution Approach 1:
The patent implements self-service error handling capabilities where the system automatically collects, categorizes, and prioritizes error reports without requiring extensive manual intervention from developers. The automated system performs initial analysis, groups similar errors, and manages the correction workflow, allowing developers to focus on actual problem-solving rather than administrative tasks. This maintains error correction quality while significantly improving productivity.
Solution Approach 2:
The patent replaces manual mechanical processes of error tracking and management with automated computational systems. Error reports are automatically processed, analyzed, and routed through software algorithms rather than manual review by large teams. This substitution maintains correction quality through systematic analysis while dramatically improving efficiency by eliminating manual overhead.
3Loss of information
If users are discouraged from revealing system configurations, then user privacy is protected, but security policy adaptation capability is reduced
Solution Approach 1:
The patent extracts only the specific configuration information needed for security policy adaptation while leaving other sensitive user data private. The system selectively collects minimal necessary information about system configurations, processes it to generate security recommendations, and does not store or expose unnecessary personal details. This approach protects user privacy while maintaining the capability to adapt security policies based on relevant technical information.
Solution Approach 2:
The patent applies different privacy protection levels to different types of information. Sensitive personal information receives strong privacy protection, while technical configuration data necessary for security analysis is processed locally and used only for its intended purpose. This differentiated approach allows security policy adaptation based on technical parameters while maintaining strong privacy protections for personal information.
Data Source
AI summary
A user administers web hosting on user's server from his computer remotely. When a run time error is generated, an error message is sent to a server connected to a knowledge database. If the error matches the known error form the knowledge database, the user is provided an article with a solution to the run-time error. Statistics of occurrence of the errors are saved in the knowledge database. The frequently occurring errors are provided to developers for creating hosting application updates. Additionally, security policies of the user's server can be updated based on the data from the knowledge database.