Radio Node Spoofing Detection via Statistical Measurement Analysis
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Solution Overview
Problem
Non-GNSS based radio positioning systems, such as Bluetooth, WLAN, and cellular networks, are vulnerable to manipulation techniques like spoofing and jamming, which can deceive devices into determining incorrect positions, posing a threat to business models relying on trustworthy positioning.
Innovation Solution
A method involving obtaining and analyzing radio measurements to identify radio nodes with unexpected signal characteristics, maintaining a database of affected nodes, and taking actions to prevent position manipulation, using a server or server cloud to determine and update information on affected radio nodes and areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If non-GNSS based radio positioning systems are used for indoor positioning, then positioning capability indoors is improved, but vulnerability to spoofing and jamming attacks increases
Solution Approach 1:
The system performs preliminary analysis of radio measurements during a training stage to establish expected signal characteristics and identify potentially affected radio nodes before actual positioning occurs. This proactive approach allows the system to prepare mitigation strategies in advance, reducing vulnerability during critical positioning operations.
Solution Approach 2:
The system continuously monitors radio measurements and compares them against expected characteristics, providing feedback to identify deviations caused by spoofing or jamming. This feedback mechanism enables real-time detection and response to manipulation attempts, maintaining positioning reliability despite the presence of harmful factors.
2Reliability
If radio measurements are analyzed to identify affected radio nodes, then resistance to manipulation techniques is improved, but system complexity increases
Solution Approach 1:
The system divides the complex task of spoofing detection into separate stages: a training stage for collecting and analyzing radio measurements to identify affected nodes, and a positioning stage for using the identified information. This segmentation reduces complexity by handling analysis separately from positioning operations.
Solution Approach 2:
The system introduces an intermediary analysis layer that processes radio measurements and identifies potentially affected radio nodes before they impact positioning accuracy. This intermediary component acts as a filter, simplifying the main positioning system's task by pre-processing and flagging suspicious signals.
3Measurement precision
If a database of affected radio nodes is maintained, then positioning accuracy is improved, but loss of time for database updates increases
Solution Approach 1:
The system performs database updates periodically during training stages rather than continuously, collecting radio measurements and analyzing affected nodes at scheduled intervals. This periodic approach balances the need for accurate positioning data with the time cost of updates, preventing excessive processing overhead during critical positioning operations.
Data Source
AI summary
A method is disclosed that includes obtaining one or more pieces of radio measurements; determining one or more radio nodes that enable one or more mobile devices a respective positioning; and maintaining a database comprising information identifying the determined one or more radio nodes. A corresponding apparatus, computer-readable storage medium and system are also disclosed.