V2X Misbehavior Detection Health Score Correction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional V2X misbehavior detection systems (MBDS) do not consider salvaging or correcting suspicious V2X messages, leading to the loss of valid information and incorrect initial assessments.
Innovation Solution
The proposed system adjusts suspicious V2X messages by computing a health score and correcting field values based on forecasting and backcasting processes, allowing for the salvage of valid information and refinement of initial misbehavior detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If suspicious V2X messages are discarded without correction, then the reliability of misbehavior detection is improved, but the loss of valid information increases
Solution Approach 1:
The patent applies discarding and recovering by initially identifying and isolating suspicious messages through forecast propagation, then potentially recovering valid information through backcast propagation that uses future messages to correct past assessments. This allows the system to discard obviously invalid data while recovering and utilizing corrected valid information from suspicious messages.
Solution Approach 2:
The patent implements feedback through backcast propagation where future V2X messages provide feedback about the validity of past suspicious messages. This feedback mechanism allows the system to reassess and correct initial misbehavior detections, transforming discarded suspicious messages into validated information sources.
2Speed
If initial misbehavior detection is performed without backcasting, then the speed of detection is improved, but the measurement precision of suspicious message identification deteriorates
Solution Approach 1:
The patent applies preliminary action through forecast propagation that performs initial suspicious message identification using only past and current messages before backcast propagation is available. This preliminary detection maintains speed while allowing subsequent refinement through backcasting feedback.
Solution Approach 2:
The patent applies inversion by using backcast propagation to work backwards from future messages to reassess past suspicious detections. This reverse approach corrects initial identification errors by validating or refuting suspicious messages with the benefit of future information.
3Object-generated harmful factors
If all suspicious V2X messages are suppressed, then the harmful factors from malicious messages are reduced, but the loss of useful data increases
Solution Approach 1:
The patent applies segmentation by separating the treatment of suspicious messages into different categories: those confirmed malicious through backcast propagation are suppressed, while those corrected through backcasting are retained and utilized. This segmented approach prevents harmful messages while preserving useful data.
Solution Approach 2:
The patent applies parameter changes by modifying the health score parameter of suspicious messages through backcast propagation. Messages that initially appear suspicious may have their health scores improved to above-threshold levels through correction, changing their status from suppressed to utilized.
Data Source
AI summary
A first UE may receive a V2X message from a second UE. The V2X message may be a suspicious message. The V2X message may include a plurality of values. Each value in the plurality of values may correspond to a respective field in a plurality of fields. The first UE may identify a health score associated with the V2X message. The first UE may adjust at least one value in the plurality of values if the health score is greater than a threshold. Accordingly, a health level of a suspicious V2X message may be analyzed quantitatively. A suspicious V2X message with a sufficiently low health level may be suppressed. Moreover, a correctable field value in a suspicious V2X message may be corrected based on a computed, measured, or prestored value.