Vehicle Anomaly Reporting for Residual Attack Response
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Solution Overview
Problem
Vehicles are vulnerable to data-processing attacks that are not detected by existing protection systems, leading to potential residual attacks and inappropriate system reactions.
Innovation Solution
A method for detecting anomalies in vehicle data by external stations, transmitting reports to vehicles, and initiating corrective or preventive actions to protect against residual attacks, including software updates, secure mode transitions, and system isolation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If external stations monitor vehicle data for anomalies, then detection of residual attacks is improved, but data transmission and processing load increase
Solution Approach 1:
The patent extracts the complex anomaly detection and analysis functions from the vehicle itself and relocates them to external stations or remote servers. This separation reduces the data transmission requirements and processing load on the vehicle, while maintaining high anomaly detection capability through external monitoring infrastructure.
2Reliability
If the vehicle takes corrective actions based on anomaly reports, then response to attacks is improved, but system availability may be reduced due to false positives
Solution Approach 1:
The system performs preliminary anomaly detection and analysis before triggering corrective actions. By pre-processing and validating anomaly reports through external stations and remote servers, the system reduces false positives and ensures that corrective actions are taken only when genuinely necessary, maintaining both security effectiveness and system availability.
Data Source
AI summary
A method for transmitting a report to a vehicle (10) comprises the following steps: —detecting, by a station (22), an anomaly relating to the vehicle; —transmitting to the vehicle (10) a report relating to the detected anomaly.