research/tools/simulators/blend/configs/fullscale.yaml

# Internet-scale: N up to 1e6. Propagation is sampled (n_rounds); adversary metrics are exact.
# Worst-case placement is capped (worstcase_max_n) so only `random` runs at 1e6.
n_nodes: [100000, 1000000]
degree: [4, 6, 8, 12, 16]
blend_hops: [3]
max_blend_delay: [3]
unresponsive_frac: [0.0, 0.1, 0.2, 0.5]
f_adv: [0.1, 0.2, 0.33]
adversary_mode: [random]
seeds: 3
base:
  n_rounds: 64
  n_placements: 3
  worstcase_max_n: 100000
Add pd: peering-degree Blend Monte-Carlo graph simulator Static-graph simulator quantifying how a node's peering degree trades off propagation speed, adversary exposure, deanonymization, and reliability in the Blend network. Scales to 1e6 nodes (sparse CSR + sampled Dijkstra); the adversary and deanonymization metrics are exact at every N. Model (ms): seeded d-regular peer graph (matching-union), Blend cascade (sender -> blend_hops timed-release mix relays -> final flood), geographic link base + exponential transport jitter, per-node processing lag, free-running release-clock mixing. Metrics: - propagation: full-delay mean/p50/p90/p99, path/broadcast split, coverage times - reliability: message success-delivery-rate ~ (1-unresponsive_frac)^blend_hops and flood coverage, with unresponsive nodes modelled as routing holes - adversary (exact): observed/eclipsed fractions, random + worst-case placement - deanonymization (exact): P(whole blend path adversarial) ~ f_adv^blend_hops, and full deanonymization (path adversarial AND honest sender peered with an adversary) = deanon_rate * observed_frac Deterministic blake2b seed streams, three parquet tables, joblib parallelism, memguard, an analytic verify harness, 50 unit tests, and an auto-installing Makefile. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> 2026-08-03 16:47:46 +02:00			`# Internet-scale: N up to 1e6. Propagation is sampled (n_rounds); adversary metrics are exact.`
			# Worst-case placement is capped (worstcase_max_n) so only `random` runs at 1e6.
			`n_nodes: [100000, 1000000]`
			`degree: [4, 6, 8, 12, 16]`
			`blend_hops: [3]`
			`max_blend_delay: [3]`
			`unresponsive_frac: [0.0, 0.1, 0.2, 0.5]`
			`f_adv: [0.1, 0.2, 0.33]`
			`adversary_mode: [random]`
			`seeds: 3`
			`base:`
			`n_rounds: 64`
			`n_placements: 3`
			`worstcase_max_n: 100000`