Brake Control Apparatus Fraud Detection via Speed and Distance Validation
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Solution Overview
Problem
Existing in-vehicle network security technologies fail to effectively detect and handle fraudulent brake control instructions, particularly when attackers transmit frames that follow normal transmission cycles, leading to potential accidents.
Innovation Solution
A control apparatus and method that includes a receiver and a discriminator to validate brake control instructions based on the vehicle's speed and distance from obstacles, determining whether the instructions are fraudulent and invalidating them if they do not meet predetermined conditions, thereby preventing unauthorized brake actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If message ID cycle registration is used to detect fraudulent frames, then detection capability is improved, but false detection occurs when attackers transmit frames following normal cycles
Solution Approach 1:
The detection mechanism is segmented into multiple independent checks: message ID cycle verification, transmission timing analysis, and content validation. By dividing the detection process into separate modules, the system can identify fraudulent frames through multiple pathways while reducing false positives from any single method.
Solution Approach 2:
The system performs partial validation by checking only critical parameters (message ID, timing, content) rather than requiring complete frame analysis. This selective approach allows rapid detection of obvious fraud while avoiding false alarms from minor variations in normal communication.
2Reliability
If comprehensive frame validation is performed, then security is improved, but processing time increases
Solution Approach 1:
The system performs preliminary validation checks on incoming frames before full processing. Critical parameters such as message ID format, timing constraints, and content integrity are verified upfront, allowing fraudulent frames to be rejected quickly without undergoing complete analysis, thus reducing overall processing time while maintaining security.
Solution Approach 2:
Different validation depths are applied to different frame types and sources. High-priority frames from trusted sources undergo minimal validation, while frames from untrusted sources or with suspicious characteristics receive comprehensive checking. This localized quality approach optimizes processing time based on actual security needs.
Data Source
AI summary
A control apparatus includes a controller, a receiver and a discriminator. The receiver, in operation, receives an instruction for controlling a brake of a movable-body apparatus. The discriminator, in operation, determines, in response to the instruction being received by the receiver, whether or not the instruction is fraudulent based on whether or not a speed of the moving body and a distance between the moving body and an obstacle satisfies a predetermined condition for invalidating the instruction.