Adaptive Security Signing for Connected Vehicles
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Solution Overview
Problem
Current connected vehicle technologies face challenges in efficiently managing large volumes of data and ensuring security, particularly with the IEEE 1609.2 standard's signing and verification processes, which can lead to processor overload and missed alerts due to constant message verification and signing requirements.
Innovation Solution
The implementation of an adaptive security signing and verification methodology, using adaptive certificate attachment and verification strategies based on vehicle dynamics and received vehicle monitoring, reduces the frequency of certificate attachment and verification, and an adaptive node filtering method that adjusts communication range and power thresholds based on signal strength and noise levels to filter out undesired nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If constant message verification and signing is performed according to IEEE 1609.2 standard, then security is improved, but processor load increases and alerts may be missed
Solution Approach 1:
The patent implements dynamic adjustment of verification and signing frequencies based on vehicle dynamics and environmental conditions. The system transitions from constant verification to adaptive verification, where the frequency is modulated according to factors such as vehicle speed, acceleration, and proximity to other vehicles, thereby reducing processor load while maintaining security during critical maneuvers
Solution Approach 2:
The system changes operational parameters by adjusting certificate attachment frequency and verification intervals based on real-time conditions. When vehicle dynamics indicate stable operation, the system reduces verification frequency; when dynamics indicate critical changes, verification frequency increases, optimizing the balance between security and processor utilization
2Loss of information
If all received vehicle data is processed, then data completeness is improved, but bandwidth usage increases and unnecessary data consumes processing resources
Solution Approach 1:
The patent applies local quality filtering by evaluating the relevance and importance of individual data elements from received vehicles based on spatial proximity, relative velocity, and contextual safety significance. Only data elements meeting specific quality thresholds are processed and transmitted, eliminating unnecessary data while preserving critical information
Solution Approach 2:
The system performs partial processing by selectively handling only the most critical portions of received data. Instead of processing all received vehicle data uniformly, the system identifies and processes only high-priority data elements such as emergency brake events or collision warnings, while filtering out redundant information
Data Source
AI summary
We introduce a connected vehicles adaptive security signing and verification methodology. We also introduce an adaptive node filtering at receiver, using noise levels and received signal strength. This invention addresses two important pillars in connected vehicle technology and autonomous cars: The first one is related to the security 1609.2 format and its main two functions: signing and verification. The second one explains how the noise level and signal strength can be used to filter undesired connected nodes. In this presentation, we provide various examples and variations on these topics.