V2X Maneuver Message Validation Against Inconsistent Data
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Solution Overview
Problem
Current V2X processing systems are unable to detect misbehavior in Maneuver Coordination Messages (MCMs), which can lead to safety and efficiency issues in traffic management and autonomous vehicle operations due to inaccurate or malicious information in these messages.
Innovation Solution
Implement methods in vehicle and network computing device processing systems to detect misbehavior in MCMs by performing tests on received messages, identifying inconsistencies and anomalies, and taking appropriate actions, including sending misbehavior reports to network authorities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If V2X processing systems broadcast and process maneuver coordination messages without misbehavior detection, then traffic efficiency and safety are improved through better maneuver coordination, but the system becomes vulnerable to inaccurate or malicious information that can cause safety issues and disruptions
Solution Approach 1:
The system performs misbehavior detection tests on MCM fields before processing the maneuver coordination message. By checking for inconsistencies in fields such as maneuver type, target road resource location, executant identifier, and timing information beforehand, the system prevents potentially harmful messages from affecting traffic coordination, thus improving reliability without significantly increasing processing complexity
Solution Approach 2:
The patent introduces an intermediary misbehavior detection layer between message reception and maneuver execution. This intermediary component analyzes field consistency and validates message integrity without requiring fundamental changes to the existing V2X communication protocol, allowing the system to maintain compatibility while enhancing safety
2Measurement precision
If V2X systems perform comprehensive misbehavior detection tests on all MCM fields, then detection precision for malicious or erroneous messages is improved, but the processing time and system complexity increase
Solution Approach 1:
The misbehavior detection process is segmented into multiple independent field-specific tests, including checks for maneuver type consistency, target road resource location validity, executant identifier matching, and timing information coherence. This segmentation allows the system to perform targeted validations on critical fields without unnecessarily processing every single message field, thereby maintaining high detection precision while minimizing processing time overhead
Data Source
AI summary
Various embodiments include methods and systems for recognizing misbehavior detection in a vehicle-to-everything (V2X) maneuver coordination message. Various embodiments may include a V2X system of a vehicle receiving a maneuver coordination message, performing a test for misbehavior on the maneuver coordination message, and taking an action in response to the test identifying misbehavior associated with the maneuver coordination message. Various embodiments may include a network computing device of a V2X network receiving a plurality of maneuver coordination messages from a plurality of vehicles, identifying an inconsistency among the plurality of maneuver coordination messages, identifying a misbehavior condition in response to identifying the inconsistency among the plurality of maneuver coordination messages, and taking an action in response to identifying the misbehavior condition.