Radio Map-Based Signal Manipulation Detection
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Solution Overview
Problem
Non-GNSS based radio positioning systems, such as Bluetooth and WLAN, are vulnerable to manipulation techniques like spoofing and jamming, which can deceive mobile devices into determining incorrect positions, posing a threat to business models relying on trustworthy positioning.
Innovation Solution
A method that involves obtaining radio signal parameters and using radio map information to determine whether these signals are expected or unexpected, allowing for the identification of potentially manipulated signals and parameters, thereby mitigating the threats of spoofing and jamming.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If non-GNSS based radio positioning systems use radio signals for positioning, then positioning can be achieved indoors and outdoors, but the system becomes vulnerable to spoofing and jamming attacks
Solution Approach 1:
The system performs preliminary actions by collecting radio signal measurements from multiple mobile devices and generating radio map information in advance during a training stage. This pre-collected data serves as a reference for later verification of radio signal parameters, enabling the system to detect manipulated signals without requiring real-time infrastructure changes.
Solution Approach 2:
The system implements feedback by comparing currently observed radio signal parameters against the pre-stored radio map information. When discrepancies are detected between expected and actual signal parameters, the system can identify potential spoofing or jamming attacks and take appropriate countermeasures, creating a closed-loop verification mechanism.
2Measurement precision
If the system collects radio fingerprint observation reports from multiple mobile devices, then positioning accuracy improves, but the complexity of data collection and processing increases
Solution Approach 1:
The system achieves universality by using mobile devices that consumers already possess and are carrying anyway. These devices serve dual purposes: their primary function for communication and their secondary function as positioning sensors for collecting radio fingerprint data. This eliminates the need for dedicated positioning hardware and reduces overall system complexity.
Solution Approach 2:
The system implements self-service by utilizing the mobile devices' own radio interfaces and processors to collect and report radio signal measurements. The devices automatically perform measurements and upload data without requiring additional external measurement equipment or manual intervention, making the data collection process self-sufficient.
Data Source
AI summary
A method is disclosed that includes obtaining one or more radio signal parameters of one or more radio signals observed by a mobile device at an observation position. The method also includes obtaining or holding available radio map information representing a radio map of a predetermined environment. The radio map is indicative of an expected radio environment of the predetermined environment. The method further includes determining, at least partially based on the one or more radio signal parameters and the radio map information, whether the one or more radio signal parameters are expected or unexpected. A corresponding apparatus and a computer-readable storage medium are also disclosed.