V2X Signal Path Validation for Vehicle Position Spoofing Detection
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Solution Overview
Problem
Existing vehicle positioning systems are vulnerable to spoofing attacks, leading to incorrect vehicle position calculations that can trigger inefficient or dangerous actions in advanced driver assistance systems and automated driving systems.
Innovation Solution
A method that authenticates vehicle position by simulating a V2X message's signal path using local environmental geodata, including stationary object positions and properties, and comparing simulated and actual physical received signal properties to validate the vehicle's position.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a tracking unit uses satellite navigation signals to determine vehicle position, then the vehicle position can be obtained, but the position can be falsified through spoofing attacks or errors
Solution Approach 1:
The system simulates the signal path from transmitter to receiver using environmental geodata and compares the simulated physical received signal properties with actual measured properties. This feedback mechanism validates whether the supposed vehicle position is correct by detecting inconsistencies caused by spoofing attacks or errors.
Solution Approach 2:
The system performs preliminary simulation of signal paths using stored environmental geodata before validating the actual position measurement. By pre-calculating expected signal characteristics based on known environmental features, the system can quickly verify the authenticity of received position data without waiting for potential spoofing to occur.
2Reliability
If environmental geodata and signal path simulation are used to validate position, then spoofing detection capability is improved, but computational complexity increases
Solution Approach 1:
Environmental geodata including stationary object positions and signal properties are stored in advance in a database. This preliminary preparation eliminates the need for real-time environmental scanning and measurement, significantly reducing computational complexity during actual position validation while maintaining high spoofing detection accuracy.
Solution Approach 2:
The system creates simplified simulated models of the physical environment (geodata) that replicate the essential signal propagation characteristics. These copied environmental models allow for fast computational simulation of signal paths without requiring complex real-time physical measurements, balancing accuracy with computational efficiency.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the reliability of vehicle positioning by making it difficult for attackers to generate fake positions, ensuring accurate vehicle location data for safe operation of ADAS and automated driving systems.
Implementation Method 1
in the simulation of the signal path, reflection and/or diffraction and/or absorption of the V2X message by the stationary objects is taken into account
Implementation Method 2
in the simulation of the signal path, reflection and/or diffraction and/or absorption of the V2X message by the stationary objects is taken into account
Implementation Method 3
in the simulation of the signal path, reflection and/or diffraction and/or absorption of the V2X message by the stationary objects is taken into account
Data Source
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AI summary
In order to devise a method for validating a presumed position (P1) of a vehicle, a vehicle receiver (1) receives a V2X message (3) transmitted by a transmitter (2) and ascertains a position (p2) of the transmitter from the V2X message, wherein local environmental geodesic data comprising positions of a number of stationary objects (01, 02) is made available, a signal path (x) of the V2X message is simulated on the basis of the transmitter position (taking into account the environmental geodesic data and the presumed position of the vehicle, and at least one simulated physical receive signal property is ascertained from the simulated signal path and the presumed position of the vehicle. When receiving the V2X message, at least one actual physical receive signal property of the V2X message is ascertained, and the presumed position of the vehicle is validated if the at least one simulated physical receive signal property differs from the at least one actual physical receive signal property by less than a limit value.