The LTE Signalling Analyser is a general-purpose platform for decoding, correlating, and visualising LTE S1/S1AP events.
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The Melrose Networks LTE S1 Analyser is a real-time, enterprise-grade analysis platform that combines advanced machine learning with sophisticated rule-based processing to monitor, analyse, and detect threats in LTE/4G mobile networks. The system specialises in drone/UAV detection and comprehensive LTE signalling analysis through deep inspection of S1AP protocol messages.
Advanced ensemble learning models automatically detect anomalous behavior patterns and classify movement types across mobile networks.
Process thousands of LTE events per second with microsecond latency for comprehensive network-wide monitoring and analysis.
Real-time map visualisation shows device movements, alerts, and network coverage with intuitive controls for operational awareness.
Custom detection logic using powerful DSL syntax enables flexible correlation of complex behavioral patterns and threat indicators.
Complete programmatic access with 25+ endpoints for seamless integration with existing security and network operations systems.
Automatic enrichment with cell tower database providing precise geographic context for all device activities and movements.
Supports multiple deployment patterns from standalone installations to distributed cloud-native architectures for diverse environments.
Sophisticated event correlation and analysis pipeline with configurable time windows and intelligent pattern recognition capabilities.
Our LTE S1 Analyser incorporates sophisticated machine learning capabilities to automatically detect anomalous behavior patterns in cellular networks. The ML subsystem combines multiple complementary approaches to deliver intelligent, real-time threat detection and behavioral analysis.
Speed, distance, direction, and trajectory analysis
Timing patterns, duration analysis, and activity schedules
Handover patterns, cell transitions, and geographic coverage
Cross-border activity, movement linearity, and behavioral fingerprinting
