Close view of routed network cables

Lightning Route Exposure Audit

Measure identifier reuse and relay concentration in a trace. Do not mistake a sample for the live network.

Payment-hop trace

CSV / local

Anonymize aliases first. One row per relay hop; monitored is 0 or 1 and must be consistent per alias.

Ready for an anonymized hop trace.

Computed local evidence

No trace audited

Checking local libraries...
A hidden path can still leave patterns.

Group payment hops, inspect repeated hashes, and calculate how often dominant or user-labeled relays touch this sample.

Read the trace without overstating it.

A relay's coverage is the fraction of distinct payments it appears in. Top-two coverage is the union of those payment sets. Gini summarizes uneven hop appearances, while monitored exposure uses only labels you supplied.

The representative calculation

Cinder coverage = 5 / 6 = 83.33%
top-two union = |Cinder payments U Atlas payments| / 6 = 100.00%
monitored amount = 825,000 / 1,125,000 = 73.33%

Changing every per-hop hash leaves those topology numbers intact but changes hash-reuse classification from six routes to zero. That is why the audit keeps metadata and concentration evidence separate.

Does same-hash reuse prove who paid whom?

No. It is a correlation surface in the supplied trace, not a complete deanonymization result. Identity attribution and attack feasibility require additional evidence the tool does not have.

Does 83.33% Cinder coverage describe Lightning globally?

No. It describes six fixture payments only. A global conclusion requires a representative, dated network snapshot, clear sampling, and an independently reviewed method.

Does onion routing make this audit irrelevant?

No. Onion routing can hide the full path from a single relay while repeated identifiers and recurrent relays remain separate observable properties. The tool measures only properties present in the input.

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