Trust Exception Management for Secure Data Processing
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Solution Overview
Problem
Existing data processing systems face challenges in managing trusted connections and applications, particularly in handling un-trusted actions due to reasons like expired or revoked certificates, where users need to manually intervene to create exceptions for each failure context, leading to inefficiencies and user frustration.
Innovation Solution
A machine-implemented method that determines if an action is un-trusted, creates trust exceptions based on user input for specific contexts, and automatically decides whether to extend existing exceptions for similar failures, allowing for context-based management of trust exceptions to facilitate secure and user-friendly operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual exception creation is required for each trust failure, then security control is maintained, but user efficiency and system productivity deteriorate
Solution Approach 1:
The system performs preliminary actions by automatically creating trust exceptions for certificate failures without requiring user intervention. When a certificate error occurs, the system proactively generates and applies the exception, allowing the operation to proceed automatically rather than waiting for manual user input each time
Solution Approach 2:
The system serves itself by automatically managing trust exceptions. The trust manager autonomously detects certificate failures, creates appropriate exceptions, and applies them without external user intervention, enabling the system to handle its own security exceptions efficiently
2Productivity
If automatic exception creation is implemented, then user efficiency and productivity improve, but system complexity and potential security risks increase
Solution Approach 1:
The trust manager acts as an intermediary component that mediates between the certificate validation process and the exception management system. It intercepts certificate errors, determines whether automatic exception creation is appropriate, and manages the exception database, thereby organizing the complexity into a dedicated intermediary layer
Solution Approach 2:
The system segments trust exception management into distinct categories based on failure types (expired certificates, revoked certificates, self-signed certificates). Each failure type has predetermined exception handling rules, dividing the complex decision-making process into manageable segments with specific protocols
3Adaptability or versatility
If context-based exception management is used, then adaptability and versatility improve, but device complexity increases
Solution Approach 1:
The system applies local quality by creating context-specific trust exceptions tied to particular applications, devices, or operations. Each exception is localized to its specific context rather than being a global blanket exception, allowing different trust levels for different contexts while maintaining organized management through context association
Data Source
AI summary
A machine implemented method includes storing a first data representing a prior exception to a first trust failure (e.g., expired certificate). The prior exception may be stored as part of establishing a first communication with a data processing system (e.g., a handheld device). The first communication may not be trustworthy. The method may determine, as part of establishing a second communication with the data processing system, that a second trust failure has occurred. The second trust failure (e.g., revoked certificate) indicates that the second communication may not be trustworthy. The method may determine whether the prior exception applies to the second trust failure. If the prior exception does not apply, the data processing system determines, automatically, whether to create a new exception for the second trust failure.