Connected Vehicle Anomaly Detection via Distributed Ledger Trust
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Connected vehicle networks face challenges in determining the trustworthiness of data from external nodes, leading to potential unnecessary vehicle movements due to incorrect or anomalous data from unverified sources, and the risk of central authority corruption.
Innovation Solution
A distributed ledger system is used to manage trust by identifying unique identifiers of nodes and executing a consensus algorithm to determine trustworthiness, with cameras and sensors identifying anomalies in received data to update the ledger, ensuring only trusted data is used for vehicle control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data from all external nodes is accepted without verification, then the quantity of available data increases, but the reliability of the connected vehicle system deteriorates due to anomalous data from untrusted sources
Solution Approach 1:
The patent introduces a distributed ledger as an intermediary mechanism that mediates between external data sources and the vehicle control system. The ledger stores and verifies unique identifiers of trusted nodes, acting as a gatekeeper that allows quantity of data to increase while maintaining reliability through cryptographic verification of data sources
Solution Approach 2:
The system performs preliminary verification by checking unique identifiers against the distributed ledger before accepting data from external nodes. This advance validation ensures that only data from pre-verified trusted sources is processed, preventing anomalous data from compromising system reliability
2Ease of operation
If a central authority is used to verify node trustworthiness, then the ease of operation increases with centralized verification, but the reliability deteriorates due to potential corruption of the central authority
Solution Approach 1:
The patent segments the centralized verification function into a distributed ledger system where verification capabilities are distributed across multiple nodes. Each vehicle and infrastructure element maintains a copy of the ledger, eliminating the single point of failure and corruption risk associated with centralized authorities while maintaining ease of verification through consistent cryptographic protocols
3Productivity
If data from unverified sources is used for vehicle control, then the productivity of the connected vehicle system increases through more data-driven decisions, but the reliability deteriorates due to incorrect data causing unnecessary vehicle movements
Solution Approach 1:
The system performs preliminary verification of unique identifiers against the distributed ledger before data is used for control decisions. This advance validation ensures that high-productivity data-driven operations only process information from verified trusted sources, preventing incorrect data from causing erroneous vehicle movements
Data Source
AI summary
At least one transceiver is configured to wirelessly receive data from a source node that is external to a vehicle, the data including a unique identifier (ID) of the source node and at least one of: a first location of the source node; a first heading of the source node; a first speed of the source node; and a first object type of the source node. At least one of a camera and a sensor is configured to identify objects located around the vehicle. An anomaly module is configured to selectively indicate that an anomaly is present in the data. A distributed ledger includes a list of unique IDs associated with not-trusted source nodes. A ledger management module is configured to, in response to an indication that an anomaly is present in the data received from the source node, add the unique ID of the source node to the list.