Vehicle Operator Authentication Using Dynamic Memory Reallocation
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Solution Overview
Problem
Current authentication methods for autonomous vehicles are inadequate in ensuring the security and authorized operation of vehicles, particularly in situations where the operator changes during operation, and they fail to efficiently manage computing resources for authentication processes.
Innovation Solution
The implementation of a multi-stage authentication system using machine learning to determine authorized driving patterns from GPS, base station, and internal vehicle data, along with dynamic reallocation of computing resources between volatile and non-volatile memory devices to optimize workload execution and ensure secure operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multi-stage authentication using machine learning is implemented, then operator authentication accuracy is improved, but device complexity increases
Solution Approach 1:
The authentication system is divided into multiple stages: initial authentication using GPS and base station data, followed by secondary authentication using driving pattern analysis. This segmentation allows the system to achieve high accuracy through progressive verification while managing complexity by handling different authentication levels separately rather than requiring all mechanisms to operate simultaneously.
Solution Approach 2:
The system performs preliminary authentication using readily available GPS and base station information before initiating more complex machine learning-based driving pattern analysis. This preliminary action filters out obviously unauthorized users early, reducing the computational burden and complexity of the subsequent authentication stages while maintaining overall security.
2Productivity
If computing resources are dynamically reallocated between memory devices, then resource utilization efficiency is improved, but device complexity increases
Solution Approach 1:
The system dynamically reallocates computing resources between volatile and non-volatile memory devices based on the specific authentication stage and computational requirements. During initial authentication, resources are allocated to rapid data access; during driving pattern analysis, resources are shifted to persistent storage. This dynamic allocation optimizes resource utilization while the underlying complexity is managed through automated resource management algorithms.
Solution Approach 2:
The memory management system automatically monitors resource usage and performs reallocation without external intervention. The system self-adjusts the distribution of computing resources between different memory devices based on current workload demands, eliminating the need for manual configuration while maintaining optimal resource utilization efficiency.
3Measurement precision
If authentication operations are performed using GPS and base station data, then operator identification accuracy is improved, but energy consumption increases
Solution Approach 1:
The system performs authentication operations periodically at key moments (vehicle startup, operator changes detected through GPS location changes or base station signal variations) rather than continuously. This periodic execution achieves accurate operator identification when needed while significantly reducing energy consumption compared to continuous monitoring and authentication processes.
Data Source
AI summary
An apparatus for vehicle operator authentication operations can include multiple memory devices coupled to a processor. The processor can perform an authentication operation using determined driving patterns associated with an authorized operator of a vehicle in which the apparatus is deployed and information received from a global positioning satellite and a base station to determine whether a current operator of the vehicle is the authorized operator of the vehicle and determine whether the vehicle has experienced a vehicle event. The processor can also re-allocate computing resources between the first memory device and the second memory device in response to the determination that the vehicle has experienced the vehicle event and perform, using the re-allocated computing resources, a subsequent authentication operation using the determined driving patterns and the information received from the global positioning satellite and the base station to determine whether the current operator of the vehicle is the authorized operator of the vehicle.