Satellite Network Intrusion Detection Using RF Authenticity Metrics
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Solution Overview
Problem
Satellite communication networks are vulnerable to attacks by intruders, such as hackers and nation-state actors, with conventional methods like firewalls and anti-virus software failing to effectively detect and prevent network intrusions, particularly in Very Small Aperture Terminal (VSAT) networks.
Innovation Solution
An intrusion detection system utilizing a non-transitory memory and processor to obtain streaming metrics data, identify terminals, determine confidence scores through predictive machine learning, and generate alerts when thresholds are exceeded, incorporating monitoring of RF signal properties and network traffic metrics to analyze authenticity and security confidence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional firewalls and anti-virus software are used, then basic network security is maintained, but network intrusions cannot be effectively detected or prevented in satellite communication networks
Solution Approach 1:
The patent replaces conventional mechanical security measures (firewalls, anti-virus software) with an electronic signal processing system that analyzes RF signal properties. The system substitutes traditional software-based detection with hardware-based RF metric analysis, including constellation diagram analysis, EVM measurement, and signal power spectral density analysis to detect intrusions in satellite communication networks.
Solution Approach 2:
The patent introduces an intermediary detection system positioned between the satellite signal source and the terminal equipment. This intermediary system captures and analyzes RF signals without disrupting normal communication, using signal property metrics as a mediator to identify intrusions. The system acts as a passive observer that monitors signal characteristics to detect anomalies indicating potential intrusions.
2Measurement precision
If real-time streaming metrics analysis is implemented, then intrusion detection accuracy is improved, but processing requirements and system complexity increase
Solution Approach 1:
The patent implements partial action by focusing analysis on specific critical RF signal properties rather than attempting to analyze all possible signal parameters. The system selectively measures key metrics such as constellation diagram characteristics, EVM values, and signal power levels that are most indicative of intrusions, rather than performing exhaustive analysis of all signal attributes.
Solution Approach 2:
The system performs preliminary action by continuously monitoring and baseline-establishing normal signal characteristics before intrusions occur. The detection system pre-processes and stores reference signal metrics under normal operating conditions, enabling faster comparison and anomaly detection when intrusions are suspected, reducing real-time processing requirements.
3Speed
If continuous monitoring of streaming metrics is performed, then real-time intrusion detection is achieved, but data processing load and resource consumption increase
Solution Approach 1:
The patent implements periodic action by sampling RF signal metrics at optimized intervals rather than continuously analyzing every signal instance. The system performs measurements at regular periods that balance detection responsiveness with processing efficiency, adjusting sampling rates based on network conditions and threat levels to minimize energy consumption while maintaining effective intrusion detection.
Solution Approach 2:
The system extracts only the essential and most discriminating signal features for analysis, separating critical intrusion-indicative metrics from redundant signal information. By extracting and analyzing only key parameters such as constellation point deviations and EVM thresholds, the system reduces processing load and energy consumption while maintaining high detection accuracy.
Data Source
AI summary
The present application at least describes an intrusion detection system. The system may include a non-transitory memory including a set of instructions. The system may also include a processor operably coupled to the non-transitory memory configured to execute the set of instructions. One of the instructions may include obtaining streaming metrics data from a satellite network management system. Another one of the instructions may include identifying a terminal in an intrusion detection database. Ye another one of the instructions may include determining, based on the streaming metrics data, whether a confidence score providing an indication of authenticity for the identified terminal meets or exceeds a predetermined threshold. A further one of the instructions may include generating an alert based upon the determination.