Smart Infrastructure Cross-Checking for Connected Vehicle Data Integrity
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Solution Overview
Problem
Connected vehicles may have latent, degraded functionality or be susceptible to cyber-attacks, leading to undetected issues causing poor performance and potential accidents, without effective monitoring by existing systems.
Innovation Solution
Implementing perception-capable smart infrastructure nodes that communicate with vehicles to verify data integrity by cross-referencing vehicle data with local perception methods, detecting and reporting incongruent information to prevent system degradation or cybersecurity threats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If connected vehicles operate without continuous monitoring, then system complexity and operational costs are reduced, but reliability and safety deteriorate due to undetected latent failures and cyber-attacks
Solution Approach 1:
The system enables vehicles to self-report their status and issues through connected infrastructure, allowing the vehicle itself to participate in the monitoring process rather than requiring external active surveillance, thus improving reliability while maintaining operational simplicity
Solution Approach 2:
The patent implements continuous feedback loops where vehicle data is monitored, analyzed for anomalies, and fed back to both the vehicle and infrastructure operators, enabling early detection of latent failures and cyber-attacks before they compromise safety
2Measurement precision
If comprehensive monitoring of connected vehicles is implemented, then detection precision of faulty behavior improves, but loss of information increases due to system overload from malicious vehicles
Solution Approach 1:
The system performs preliminary validation and filtering of vehicle data at the infrastructure level before processing, establishing baseline expectations for normal vehicle behavior and pre-screening incoming data streams to prevent malicious or erroneous information from overwhelming the system
Solution Approach 2:
The patent introduces intermediate processing layers and validation mechanisms that act as mediators between raw vehicle data and the central monitoring system, filtering and verifying information to maintain detection precision while preventing data overload from compromised vehicles
Data Source
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AI summary
Systems, methods, and computer-readable media are disclosed for a systems and methods for improved smart infrastructure data transfer. An example method may involve receiving, by a smart infrastructure device and from a first vehicle, first information associated with the first vehicle. The example method may also include receiving an image, video, or real-time feed of an environment of the smart infrastructure device, the environment including the first vehicle. The example method may also include determining an inconsistency between the first information received from the first vehicle and the image, video, or real-time feed of the environment. The example method may also include flagging, based on determining the inconsistency between the first information received from the first vehicle and the image, video, or real-time feed of the environment, the first vehicle as a source of erroneous data.