mirror of
https://github.com/jmcorgan/fips.git
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Johnathan Corgan
f37eb4b846
Update 9 documentation files to match current implementation: - Add missing rekey config section (node.rekey.*) and host mapping section to fips-configuration.md - Update Ethernet frame format from [type:1][payload] to [type:1][length:2 LE][payload] in wire-formats and transport docs - Fix Ethernet effective MTU from interface-1 to interface-3 - Mark rekey as Implemented in mesh-layer and session-layer status tables - Change TCP default port examples from 443 to 8443 - Add rekey, persistent identity, host mapping, mesh size estimation to README features and status sections - Update chaos scenario count from 16 to 20, add rekey topology to static test docs
35 lines
1.5 KiB
Markdown
35 lines
1.5 KiB
Markdown
# FIPS Testing
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Integration and simulation test harnesses for FIPS, using Docker
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containers running the full protocol stack.
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## Test Harnesses
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### [static/](static/) -- Static Docker Network
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Fixed topologies with manual scripts for building, config generation,
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connectivity tests (ping, iperf), and network impairment (netem).
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Useful for deterministic debugging and validating specific topology
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configurations.
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| Topology | Nodes | Transport | Description |
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| ----------- | ----- | --------- | -------------------------------- |
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| mesh | 5 | UDP | Sparse mesh, 6 links, multi-hop |
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| chain | 5 | UDP | Linear chain, max 4-hop paths |
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| mesh-public | 5+1 | UDP | Mesh with external public node |
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| tcp-chain | 3 | TCP | Linear chain over TCP (port 8443) |
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| rekey | 5 | UDP | Rekey integration test topology |
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### [chaos/](chaos/) -- Stochastic Simulation
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Automated network testing with configurable node counts, topology
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algorithms (random geometric, Erdos-Renyi, chain, explicit), and fault
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injection (netem mutation, link flaps, traffic generation, node
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churn). 20 scenarios covering general stress testing, cost-based parent
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selection, mixed link technologies (fiber/Bluetooth/WiFi),
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transport-specific validation (UDP, TCP, Ethernet), and ECN/congestion
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testing. Scenarios are
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defined in YAML and executed via a Python harness that manages the full
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lifecycle: topology generation, Docker orchestration, fault scheduling,
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log collection, and analysis.
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