Risk Analysis of Distributed Test Objects via Context Segmentation
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Solution Overview
Problem
Current risk analysis methods for distributed test objects fail to consider these objects in different contexts, leading to either holistic analyses that ignore context-specific assumptions or multiple analyses that make reciprocal assumptions, resulting in incomplete or inconsistent risk assessments.
Innovation Solution
A method and system for semi-automated or fully automated risk analysis of distributed test objects, which involves conducting risk analyses in distinct contexts and exchanging information about protection requirements to automate the consideration of reciprocal dependencies and mitigate risks across contexts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a holistic risk analysis is performed for distributed test objects, then the analysis covers all contexts, but context-specific assumptions are ignored leading to incomplete risk assessment
Solution Approach 1:
The patent segments the distributed test object into multiple context-specific parts, each analyzed in its own analysis context. This allows context-specific assumptions to be preserved in each segment while the overall system remains comprehensively covered. The segmentation enables separate risk analyses for each context (e.g., embedded system, IT system, mobile device) without losing context-specific information.
Solution Approach 2:
The patent introduces an intermediary mechanism (information exchange about protection requirements and transmission paths) that connects the separate context-specific analyses. This intermediary allows context-specific assumptions to be communicated between analyses, resolving the contradiction by enabling both holistic coverage and context-specific precision through a mediating information exchange process.
2Reliability
If multiple separate risk analyses are performed for different contexts, then context-specific assumptions are considered, but reciprocal assumptions lead to inconsistent risk assessments
Solution Approach 1:
The patent implements feedback loops where protection requirements identified in one context are exchanged and considered in other contexts. The analysis results from different contexts feed back into each other, allowing reciprocal assumptions to be consistently resolved. This feedback mechanism ensures that context-specific analyses remain consistent with each other while maintaining their individual accuracy.
Solution Approach 2:
The patent creates a universal framework that can handle multiple context-specific analyses simultaneously. The system is designed to process different analysis contexts (embedded systems, IT systems, mobile devices) with their own specific assumptions, while providing a unified output that ensures consistency across all contexts through standardized information exchange about protection requirements.
3Adaptability or versatility
If manual processes are used to exchange protection requirements between contexts, then flexibility is maintained, but complexity and susceptibility to error increase
Solution Approach 1:
The patent enables the risk analysis system to automatically exchange protection requirement information between different context-specific analyses without manual intervention. The system self-services by automatically identifying transmission paths, exchanging protection requirements, and integrating results across contexts. This automation reduces complexity and error susceptibility while maintaining the flexibility to handle diverse analysis contexts through standardized automatic processes.
Data Source
AI summary
A method, a computer program with instructions, and a system for the risk analysis of a distributed test object. The disclosed embodiment also relates to devices for use in such a system. According to the invention, a risk analysis for a part of the test object located in a first context is carried out. In addition, a risk analysis for a part of the test object located in a second context is carried out. If a protection requirement is determined in the case of one of the risk analyses, information relating to this determined protection requirement is exchanged between the risk analyses. The determined protection requirement can then be taken into account in that a risk-enhancing measure is determined. In this case, information relating to the determined risk-enhancing measure can be exchanged between the risk analyses.