
231 - AI-Driven GNSS Spoofing Detection in Community Reference Networks
Status: On Going
Activity Code: NAVISP-EL2-231
Start date: 01/07/2025
Duration: 24 Months
A community-powered GNSS reference station network developed by onocoy enables the mass adoption of high-precision satellite positioning. The disruptive approach of decoupling the operation of reference stations from the delivery of correction services, and establishing a shared platform for such data, makes it possible to create a network with unprecedented coverage and density. The benefits are substantial and shared across the entire value chain.
This importance also makes the onocoy network a prime target for malicious actors. Threats range from petty criminals seeking illicit advantages by injecting artificial GNSS signals, to state-level actors attempting to spoof the network to disrupt critical infrastructure across entire regions. In both cases, the resulting damage could affect the entire user base.
While the community approach has potential vulnerabilities, it also presents opportunities. If it is possible to analyse the vast volumes of GNSS observations generated on the platform, spoofing attempts could be detected and prevented. The aim of the project is to leverage the rapidly growing number of GNSS reference station communities on the onocoy platform to detect GNSS spoofing through the application of artificial intelligence.
Subcontractors

Last Updated: 01/09/2025 14:12