Vehicle Control Authorization Using Location Spoofing Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Autonomous vehicles are vulnerable to being compromised by nefarious actors who can send false instructions or take control of the control system, leading to unauthorized navigation of vehicles.
Innovation Solution
Implementing a system that determines the reported location of a vehicle by comparing sensor data from the vehicle with map data, and if the difference exceeds a threshold, it determines the vehicle is unauthorized, triggering appropriate actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the autonomous vehicle relies on control system instructions for navigation, then the vehicle can operate autonomously along designated routes, but the vehicle becomes vulnerable to spoofing and unauthorized control
Solution Approach 1:
The patent implements feedback by continuously monitoring received instructions against expected instruction patterns and vehicle state. The system verifies whether received instructions align with the autonomous navigation plan and vehicle conditions, creating a closed-loop verification mechanism that detects unauthorized control attempts while maintaining autonomous operation.
Solution Approach 2:
The patent introduces an intermediary verification layer between the control system instructions and vehicle execution. This intermediary component validates incoming instructions by comparing them against expected patterns and authorization criteria, acting as a mediator that blocks unauthorized commands while permitting legitimate autonomous navigation instructions.
2Reliability
If the vehicle verifies instruction authenticity through multiple checks, then the security against spoofing improves, but the system complexity increases
Solution Approach 1:
The patent applies partial verification by checking specific critical attributes of received instructions rather than performing exhaustive validation of all instruction components. The system verifies essential authorization elements and instruction consistency with autonomous navigation plans, performing sufficient validation to detect spoofing without requiring complete instruction re-verification.
Solution Approach 2:
The patent changes verification parameters by adapting the strictness and scope of checks based on instruction type, vehicle state, and risk context. The system dynamically adjusts verification thresholds and check intensity, applying more stringent validation when risk is higher and streamlined verification for routine autonomous navigation instructions.
Data Source
AI summary
Techniques and methods for securing vehicle systems. For instance, an authorization system may store data representing frequencies at which destination locations are associated pick-up locations for a fleet of autonomous vehicles. The authorization system may then receive a request for an autonomous vehicle to pick up a passenger at a first location and drop off the passenger at a second location. Based on the first location and the second location, the authorization system may determine a frequency for the request. The authorization system may then determine whether a control system for the fleet of autonomous vehicles is compromised based on whether the frequency is less than or equal to a threshold frequency. If the authorization system determines that the control system is compromised, the authorization system may perform a remedial action, such as notifying a teleoperator.