Module 11: Starlink Security, Resilience, and Operational Reliability

Phase: 4 - Mastery Builds on: Modules 03, 05, 07, and 10

Math You’ll Learn

Probability and Statistics

This module uses probability to reason about noise, failures, alarms, and service availability.

• Random variables, PDF, CDF, expectation, variance - statistical foundations.
• Gaussian distribution and Central Limit Theorem - noise and measurement models.
  • Starlink application: link telemetry and anomaly thresholds.
• Rayleigh/Rician fading concepts - wireless-channel variability.
• Markov chains basics - state transitions for link health and failure recovery.
• False positives and false negatives - security and operations alerts.
• Availability modeling - gateway diversity, laser mesh redundancy, and correlated failures.

After this: You can estimate reliability, detect anomalies, and evaluate security policy changes using quantitative evidence.

Resources:

• Devore, Probability and Statistics for Engineering and the Sciences
• NIST security references for operational controls
• RPKI/BGP security operational references

What You’ll Learn

This module shifts from CCSDS SDLS/BPSec as the primary security topic toward Starlink-relevant ISP, ground-network, RF, and operations security. CCSDS security remains useful background for non-Starlink space systems.

Network and Routing Security

• BGP route leaks, prefix hijacks, route filtering, max-prefix, and communities.
• RPKI/ROA validation and route-origin security.
• DDoS mitigation, scrubbing, RTBH/flowspec concepts.
• Management-plane isolation and configuration integrity.
• Policy validation before rollout.

Subscriber and Ground-Network Security

• AAA/RADIUS, subscriber identity, CGNAT logging, abuse workflows.
• Gateway/POP hardening, secrets management, access control, audit logs.
• Device lifecycle, provisioning, and configuration drift.
• Telemetry integrity and anomaly detection.

RF, Space, and Direct-to-Cell Threats

• Jamming, spoofing, interference detection, and spectrum monitoring.
• Direct-to-cell trust boundaries: roaming, mobile-core authentication, IPsec, lawful-intercept awareness.
• Space-safety operational data: ephemeris sharing, maneuver status, conjunction workflows.
• Availability under satellite, gateway, POP, laser-link, and weather failures.

C++ and Python Skills

C++ focus: policy-checking services, route/config validation, concurrent analysis, safe data models.

Python focus: telemetry simulation, anomaly detection, Monte Carlo availability, BER/interference plots.

Projects

Project 1: Routing Security and Policy Guard (C++)

Build a pre-deployment validator for network policy changes.

What you’ll build:

• Validate proposed BGP/SR route changes against policy.
• Check max-prefix thresholds, route-origin status, and disallowed egress.
• Estimate blast radius for a proposed route or gateway change.
• Reject unsafe changes with precise reasons.
• Emit an audit log and machine-readable validation report.

C++ skills used: rule engine, data validation, structured errors, concurrency optional.

Toolkit: Add ReliabilitySecurityAnalyzer.

Project 2: Jamming, Availability, and Anomaly Analysis (Python)

Analyze reliability and security telemetry.

What you’ll build:

• Simulate link degradation from interference or jamming.
• Generate telemetry streams for link margin, packet loss, latency, and route churn.
• Detect anomalies with threshold and statistical methods.
• Estimate service availability under gateway, POP, satellite, and laser-link failures.
• Plot false positives/false negatives for alert thresholds.

Python skills used: NumPy, SciPy, matplotlib, Monte Carlo simulation.

Technology Reference

Where This Tech Is Used

Books and Resources