Surveillance Signal Discrepancy Detection for Spoofing Alerts
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Solution Overview
Problem
Existing vehicle traffic control systems are vulnerable to false positioning signals, which can lead to inaccurate location determination and increased risk of collisions, as attackers can spoof Global Navigation Satellite System (GNSS) signals or automatic dependent surveillance-broadcast (ADS-B) signals, compromising the safety and security of vehicle navigation.
Innovation Solution
A system configured to detect discrepancies in surveillance signals received from other vehicles, using a transceiver and processing circuitry to compare expected and actual characteristics of positioning and surveillance signals, and output an alert signal when false positioning signals are detected, thereby identifying potential spoofing attacks and preventing collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vehicle traffic control systems use GNSS and ADS-B surveillance signals for position tracking, then vehicle location determination and traffic management are enabled, but the system becomes vulnerable to false positioning signals and spoofing attacks
Solution Approach 1:
The patent introduces an intermediary validation system that acts as a mediator between the surveillance signals and the vehicle traffic control system. This intermediary layer compares expected signal characteristics with actual received signals, validating the authenticity of positioning data before it is processed by the traffic control system, thereby blocking spoofed signals without compromising legitimate signal reception
Solution Approach 2:
The system implements feedback mechanisms where the vehicle's determined position is used to generate expected surveillance signal characteristics, which are then compared with actual received signals. This closed-loop feedback allows the system to continuously validate signal authenticity and detect discrepancies indicating spoofing attempts, maintaining reliability while enabling precise location determination
2Measurement precision
If the system compares expected and actual characteristics of surveillance signals to detect false positioning, then detection accuracy of spoofing attacks is improved, but system complexity increases
Solution Approach 1:
The patent applies local quality by focusing the comparison process on specific critical characteristics of surveillance signals rather than analyzing all signal parameters. By identifying and comparing only the most discriminative features (such as specific timing, frequency, or modulation characteristics), the system achieves high spoofing detection accuracy while minimizing processing complexity
Solution Approach 2:
The signal processing system is segmented into distinct functional modules: one module generates expected characteristics based on vehicle position, another module compares these with actual received signals, and a third module determines authenticity. This segmentation allows each module to perform a specialized function efficiently, reducing overall system complexity while maintaining high detection precision
Data Source
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AI summary
In some examples, a system, configured to mount on an ownship vehicle, includes a transceiver configured to receive positioning signals and receive surveillance signals including surveillance data from a second vehicle and processing circuitry configured to determine a location of the ownship vehicle based on the positioning signals received by the transceiver and determine expected characteristics of the surveillance signals based on the surveillance data. In some examples, the processing circuitry is further configured to compare the expected characteristics and actual characteristics of the surveillance signals received from the second vehicle and determine that the surveillance signals include a discrepancy indicative of false positioning signals in response to comparing the expected characteristics and the actual characteristics. In some examples, the processing circuitry is configured to output an alert signal indicating the false positioning signals in response to determining that the surveillance signals include a discrepancy.