Cloud-Based GNSS Spoofing Detection with Multi-Source Aircraft Data
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Solution Overview
Problem
Aircraft navigation systems are vulnerable to GNSS spoofing and jamming events, leading to navigation failures, ADS-B malfunctions, and critical system failures, compromising safety and causing flight cancellations and delays.
Innovation Solution
A cloud-based alert system processes GNSS data from multiple sources, including ADS-B and external GNSS receivers, to detect spoofing events and provide real-time alerts to aircraft crews through EFB tablets, using deep learning models to analyze and track interference patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cloud-based processing is used to detect GNSS spoofing events, then detection capability and reliability are improved, but system complexity and data transmission requirements increase
Solution Approach 1:
A cloud-based intermediary system processes GNSS data from multiple aircraft, acting as a mediator between individual aircraft receivers and the detection algorithm. The cloud server aggregates data from multiple sources, performs sophisticated spoofing detection analysis, and returns results to individual aircraft, thereby improving detection capability without requiring complex onboard processing equipment at each aircraft.
2Measurement precision
If multiple data sources are integrated for spoofing detection, then measurement precision is improved, but data processing complexity increases
Solution Approach 1:
The system merges GNSS data from multiple independent sources (multiple aircraft receivers, ADS-B data, cloud-based references) into a unified detection process. By combining data from multiple sources at the cloud server, the system achieves higher detection accuracy through cross-validation and pattern recognition, while the complexity is managed centrally rather than distributed across multiple aircraft systems.
3Loss of time
If real-time alerts are provided to aircraft crews, then response time is improved, but communication infrastructure requirements increase
Solution Approach 1:
The system implements a feedback loop where cloud-based detection results are communicated back to individual aircraft in real-time. When spoofing is detected in the cloud system, alerts are immediately transmitted to affected aircraft crews, enabling rapid response. This feedback mechanism reduces response time by providing near-real-time warning, while utilizing existing aviation communication infrastructure rather than requiring new dedicated systems.
Data Source
AI summary
The technology disclosed teaches distributed networks and methods for cloud processing for global navigation satellite system (GNSS) interference data from a plurality of GNSS receivers to alert aircraft personnel to GNSS spoofing of aircraft guidance systems. The technology disclosed includes receiving at a cloud-based server, GNSS interference data from the plurality of GNSS receivers, analyzing the GNSS interference data upon receipt, identifying an interference event from the analyzed GNSS interference data, and in response to an identified interference event, the cloud-based server providing an alert to EFB tablet devices onboard the aircraft thereby causing notification of aircraft personnel of a potential spoofing event.