Research & Insights

Methodologies, walkthroughs, and Mycelium capabilities.

Platform Features

Native Encrypted Mesh Networking in Mycelium

Every Mycelium node participates in a native peer-to-peer encrypted mesh — no configuration required. Explore automatic LAN discovery, remote command routing, NODE:TOOL data forwarding, and MeshSDR for simulating RF links between nodes without hardware.

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Platform Features

Bridging LLMs to the Physical World: Controlling SDRs with MCP

Learn how Mycelium's Model Context Protocol (MCP) bridges AI agents to the electromagnetic spectrum, enabling LLMs to control SDRs and analyze RF traffic.

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Platform Features

Distributed AI-Controlled RF Sensing

Combine MCP and the native mesh to give an AI agent control over an entire sensor fleet. Configure tools on remote nodes via @NODE routing, aggregate decoded RF data from every sensor into a single context window, and let the AI synthesize findings across the full physical footprint.

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Architecture

Building a Distributed City-Wide Sensor Mesh

Deploy distributed RF sensor meshes across large geographic areas, using low-cost edge agents to forward signals to a centralized brain for analysis and alerting.

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Data Transport

Testing Non-traditional Data Transport via RF

Test non-traditional data transport by transmitting obfuscated data over low-profile RF bands, evaluating network visibility into the electromagnetic domain.

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Advanced Automation

Building Logic-Driven RF State Machines

Build logic-driven RF state machines with Mycelium, enabling tools to change behavior based on real-time RF events, leveraging global variables and dynamic directive toggling.

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Robustness Testing

Automated Protocol Robustness and Fault Injection

Automate protocol robustness testing by injecting structured mutations, boundary values, and random bit-flips into RF transmit pipelines to discover parser vulnerabilities.

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Workflow

Designing Complex RF Pipelines without Writing C++

Build sophisticated DSP pipelines directly from the command line, capturing raw RF data, filtering noise, and piping payloads to external scripts without C++.

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Interference Simulation

Programmable Interference: Simulating Signal Disruption

Simulate complex RF interference patterns with Mycelium's noise generation tools (AWGN, Tone, Sweep, Pulse) to test wireless system resilience and anti-interference capabilities.

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Integration

Bridging the Gap: Real-Time VHF to UDP Forwarding

Bridge real-time VHF data to UDP, enabling high-priority aircraft alerts and integrating RF data into standard networking environments for dashboards and alerting systems.

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Aviation Pack

Setting up a Headless ACARS Ground Station

Deploy a fully functional, bidirectional ACARS ground station headlessly on lightweight edge hardware like a Raspberry Pi using Mycelium's Aviation Mission Pack.

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Signal Replay

Signal Replay Testing Methodologies

Master RF replay attacks by capturing raw IQ signals and re-transmitting them to test authentication resilience against rolling-code protections.

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Security Analysis

Iterative Response Testing for Access Control

Systematically test access control systems by automating the transmission of every possible code in a 12-bit keyspace using Mycelium's `Mutate_Data` and `Increment_Variable` directives.

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Platform Features

Building an Autonomous Frequency Scanner

Automate RF frequency scanning with Mycelium's Directive System to sweep spectrum, detect signals, and record raw IQ data autonomously.

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