Vehicle Type Grouping for Software Vulnerability Analysis
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Solution Overview
Problem
Existing analysis support systems for addressing software vulnerabilities in vehicles lack efficiency, as they require individual analysis for each vehicle type, leading to increased time and costs.
Innovation Solution
An analysis support system that classifies vehicle types into groups based on vehicle type information, such as configuration and OTA compatibility, to reduce overlapping examination contents and streamline vulnerability analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual analysis is performed for each vehicle type, then analysis accuracy is improved, but analysis time and costs increase
Solution Approach 1:
The patent segments vehicle types into distinct groups based on shared characteristics (e.g., platform, powertrain, body type). By dividing the analysis into group-level and vehicle-type-level stages, the system achieves comprehensive coverage without analyzing each vehicle type in isolation, thus reducing time while maintaining accuracy.
Solution Approach 2:
The patent performs preliminary grouping of vehicle types based on common characteristics before conducting detailed vulnerability analysis. This preliminary classification allows analysts to identify patterns and shared vulnerabilities across groups, reducing redundant analysis work while preserving the ability to perform detailed individual analysis when necessary.
2Reliability
If individual analysis is performed for each vehicle type, then analysis completeness is improved, but costs increase
Solution Approach 1:
The patent merges analysis efforts by identifying and grouping vehicle types with similar characteristics. By combining analysis activities at the group level (e.g., analyzing common vulnerabilities across all vehicles sharing a platform), the system achieves comprehensive coverage without duplicating efforts for each individual vehicle type, thus reducing costs while maintaining completeness.
Solution Approach 2:
The patent creates universal analysis frameworks and methodologies that can be applied across multiple vehicle types within a group. By developing group-level analysis templates and vulnerability assessments that are universally applicable to all vehicle types in a group, the system reduces the need for custom analysis for each vehicle type, thereby reducing costs while ensuring thorough coverage.
3Measurement precision
If detailed vehicle type information is collected, then analysis precision is improved, but data processing complexity increases
Solution Approach 1:
The patent extracts and focuses on only the most relevant vehicle type characteristics needed for vulnerability analysis (e.g., platform, powertrain type, body style). By selectively extracting only the essential attributes rather than processing all available vehicle data, the system maintains high analysis precision while significantly reducing data processing complexity.
Solution Approach 2:
The patent applies different levels of data collection and analysis precision to different vehicle type groups based on their specific characteristics. Rather than uniformly collecting and processing detailed information for all vehicle types, the system tailors the depth of data collection to the specific analysis needs of each group, reducing overall processing complexity while maintaining necessary precision where required.
Data Source
AI summary
An analysis support system supports analysis for addressing vulnerability of software provided to vehicles. The analysis support system includes: a data receiver that obtains vehicle type information on each of a plurality of vehicle types of the vehicles provided with the software having vulnerability; and a determiner that performs a first determination to classify the plurality of vehicle types into two or more groups for the analysis, based on the vehicle type information obtained for each of the plurality of vehicle types.