In-Vehicle Network Message Statistics for Unauthorized Frame Detection
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Solution Overview
Problem
Existing technologies for detecting unauthorized messages in in-vehicle networks lack accuracy.
Innovation Solution
A detection device that monitors in-vehicle network messages, calculates statistic values based on identification information, and compares these values to thresholds to detect unauthorized messages, using methods such as analyzing data length, identification information, and total message counts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing detection technologies are used to monitor in-vehicle network messages, then the detection process can be implemented, but the accuracy of detecting unauthorized messages is insufficient
Solution Approach 1:
The patent applies parameter changes by calculating multiple statistical parameters (average value, standard deviation, variance) of message transmission intervals and using these parameters to dynamically detect unauthorized messages. The detection unit compares actual message intervals against statistically derived thresholds, enabling accurate detection while maintaining system reliability through quantitative analysis rather than simple rule-based detection
Solution Approach 2:
The patent implements feedback mechanisms where the detection unit continuously monitors message transmission patterns, calculates statistical parameters from the monitoring results, and uses this feedback to identify deviations from normal behavior. The system feeds back the detected unauthorized messages to the security control unit, which can then take corrective actions, creating a closed-loop detection system that improves both accuracy and reliability
2Measurement precision
If statistical analysis of message transmission patterns is performed, then detection accuracy improves, but the calculation complexity and processing time increase
Solution Approach 1:
The patent applies segmentation by dividing the detection process into distinct functional units: a monitoring unit that collects message data, a calculation unit that computes statistical parameters, and a detection unit that compares actual values against thresholds. This segmentation allows each unit to perform its specific function efficiently, reducing overall system complexity while maintaining high detection accuracy through specialized processing at each stage
Solution Approach 2:
The patent uses partial action by focusing statistical analysis only on critical message transmission parameters (intervals, frequencies) rather than analyzing all message attributes. The calculation unit computes only the necessary statistical parameters (average, standard deviation, variance) required for detection, avoiding unnecessary calculations and reducing processing complexity while maintaining sufficient detection accuracy
Data Source
AI summary
A detection device configured to detect an unauthorized message in an in-vehicle network installed in a vehicle includes: a monitoring unit configured to monitor messages transmitted in the in-vehicle network; a calculation unit configured to, on the basis of a monitoring result by the monitoring unit, calculate a statistic value regarding target messages that have been transmitted in the in-vehicle network in a predetermined period and that are each a message having identification information provided for each kind of target information to be used in the vehicle; and a detection unit configured to perform a detection process of detecting the unauthorized message on the basis of the statistic value calculated by the calculation unit.