HomeCybersecurityHoneytoken Trap Network — 2D Ensemble Detection Model

Honeytoken Trap Network — 2D Ensemble Detection Model

A 2D concentric-ring identity graph runs a whole swarm of lateral-movement attackers at once, plotting the live empirical distribution of probes-to-detection against the theoretical geometric law E[MTTD] = 1/(d·s).

Cybersecurity2DModerate60 FPS📱 Mobile-adapted⇄ 3D version
2d-cybersec-topic-36 ↗ Open standalone

A 2D concentric-ring directory graph seeded with decoy honeytoken identities, where a whole swarm of simulated attackers walks the graph in parallel so the empirical distribution of probes-to-detection can be watched converging live onto the theoretical geometric law.

⚙ Under the hood

A 2D concentric-ring identity graph runs a whole swarm of lateral-movement attackers at once, plotting the live empirical distribution of probes-to-detection against the theoretical geometric law E[MTTD] = 1/(d·s).

cybersecurityhoneytokendetectionmonte-carloprobabilitynetwork-graph2D

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install

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