Collective Perception Message Consistency Checks for V2X Misbehavior Detection

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Solution Overview

Problem

Existing V2X communication systems lack detailed algorithms for misbehavior detection in ad-hoc networks, particularly for Collective Perception Messages (CPMs), leading to potential security threats from malicious or malfunctioning ITS stations, which can compromise the integrity and authenticity of messages, risking unsafe vehicle decisions.

Innovation Solution

Implement multi-step systematic consistency checks within a single CPM and across multiple CPMs from the same or different nodes, leveraging fusion algorithms to identify and filter out inconsistencies, and utilize a Misbehavior Detection and Reporting Service (MDRS) architecture involving local and global detection, reporting, and reaction mechanisms.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If multi-step systematic consistency checks are implemented for CPMs, then reliability of message authentication is improved, but device complexity increases

Engineering Contradiction:

Improvemessage authentication reliabilityVSAvoiddetection system complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The misbehavior detection system is segmented into multiple independent consistency check modules, each responsible for specific verification tasks (e.g., digital signature verification, message format validation, data plausibility checks). This segmentation allows the complex detection process to be divided into manageable, modular components that can be implemented and maintained separately, reducing overall system complexity while maintaining high reliability.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system performs preliminary consistency checks on CPMs before they are fully processed and integrated into the V2X network. By pre-validating message authenticity, format correctness, and data plausibility before further processing, the system prevents propagation of malicious or erroneous messages, thereby improving reliability without requiring complex post-processing detection mechanisms.

Inventive Principle:

Principle #10Preliminary action

2Measurement precision

If fusion algorithms are used to identify and filter inconsistencies across multiple CPMs, then measurement precision of misbehavior detection is improved, but loss of time increases

Engineering Contradiction:

Improvemisbehavior detection precisionVSAvoiddetection processing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The fusion algorithm implements partial action by selectively applying consistency checks only to suspicious or anomalous CPMs rather than performing exhaustive verification on every message. The system identifies messages with inconsistent data patterns, conflicting information from multiple sources, or deviations from expected behavior, and applies fusion algorithms only to these partial cases, thereby maintaining high detection precision while minimizing overall processing time.

Inventive Principle:

Principle #16Partial or excessive action

3Reliability

If local and global detection mechanisms are deployed, then reliability of misbehavior detection is improved, but device complexity increases

Engineering Contradiction:

Improvemisbehavior detection reliabilityVSAvoiddetection architecture complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system merges local detection capabilities (implemented in individual V2X nodes for immediate message validation) with global detection mechanisms (centralized analysis of patterns across the network). By combining these two detection layers into a unified architecture where local checks filter obvious anomalies and global analysis handles complex pattern recognition, the system achieves enhanced reliability while managing complexity through coordinated interaction between simplified local and global components.

Inventive Principle:

Principle #5Merging (Combining)

4Loss of information

If data consistency checks are performed on CPMs from multiple nodes, then purity of perceived environmental data is improved, but loss of time increases

Engineering Contradiction:

Improvedata purityVSAvoidvalidation processing time

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The system implements skipping by performing rapid, lightweight consistency checks on CPMs from multiple nodes, quickly identifying and discarding obviously inconsistent or malicious messages without performing exhaustive validation. The detection mechanism rushes through preliminary filtering to eliminate low-value messages, then applies more thorough checks only to suspicious cases, thereby maintaining data purity while minimizing overall validation time.

Inventive Principle:

Principle #21Skipping (Rushing through)

Data Source

PatentUS12418778B2Misbehavior detection using data consistency checks for collective perception messages

Publication Date: 2025.09.16 INTEL CORP

AI summary

The present disclosure is related to vehicle-to-everything (V2X) and Intelligent Transport System (ITS) communications technologies, and in particular, to misbehavior detection and misbehavior reporting services for Collective Perception Messages (CPMs). The misbehavior detection mechanisms include one or more data consistency checks, including a multi-step systematic data consistency check within individual CPMs, across multiple CPMs from the same transmitter, and across multiple CPMs from different transmitters. Potential misbehaviors are reported to a misbehavior authority in one or more misbehavior reports.