Vehicle Accident-Cyberattack Correlation Using Log and Surrounding Data
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Solution Overview
Problem
Existing vehicle security analysis systems struggle to accurately determine whether vehicle accidents are caused by cyber attacks, leading to insufficient verification of accident causes.
Innovation Solution
An information processing system that integrates surrounding information and in-vehicle log data to derive the relationship between vehicle accidents and cyber attacks, using anomaly detection and cyber attack analysis to identify correlations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional security analysis systems are used to identify cyber attack scenarios, then cyber attack patterns can be recognized, but the ability to accurately determine whether vehicle accidents are caused by cyber attacks is insufficient
Solution Approach 1:
The patent combines multiple information sources including surrounding information from cameras/sensors, in-vehicle log information from various vehicle systems, and cyber attack analysis results into a unified accident cause determination system. This integration allows comprehensive verification by correlating environmental context, vehicle state data, and security event analysis to accurately determine whether cyber attacks caused accidents.
Solution Approach 2:
The system segments the accident analysis process into distinct components: acquiring surrounding information, acquiring in-vehicle log information, analyzing cyber attack scenarios, and determining accident causes. This segmentation allows each component to be processed and verified independently, improving overall determination accuracy through systematic multi-stage verification.
2Reliability
If multiple information sources are integrated to verify accident causes, then verification accuracy improves, but system complexity increases
Solution Approach 1:
The information processing system performs multiple functions using a unified architecture: it acquires and processes surrounding information, collects and analyzes in-vehicle logs, detects cyber attack scenarios, and determines accident causes. This multi-functional design consolidates what could be separate complex systems into a single integrated platform, managing complexity while maintaining high verification reliability.
Solution Approach 2:
The system introduces an information processing unit as an intermediary that standardizes and correlates data from diverse sources including cameras, sensors, vehicle logs, and security analysis modules. This intermediary layer harmonizes different data formats and processing requirements, enabling reliable verification without requiring direct complex integration between all individual components.
Data Source
AI summary
An information processing system includes: an information obtainer that obtains surrounding information of a vehicle and in-vehicle log information indicating an in-vehicle log of the vehicle; an information processor that derives, based on the surrounding information and the in-vehicle log information indicating an in-vehicle log of the vehicle, a relationship between an accident in which the vehicle has been involved and a cyber attack to which the vehicle has been subjected; and an outputter that outputs information indicating the relationship between the accident in which the vehicle has been involved and the cyber attack.