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description: A walkthrough of adding an interactive visualization layer (`p2p-viz`) to a Rust-based P2P attack simulation gym. The tool lets users pick attack scenarios...
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# Building an Interactive P2P Attack Gym in Rust

**[Coins Bench](https://daily.dev/sources/coinsbench)** · 5 min read · 1 upvotes · 0 comments

## Summary

A walkthrough of adding an interactive visualization layer (`p2p-viz`) to a Rust-based P2P attack simulation gym. The tool lets users pick attack scenarios (Sybil, Eclipse, Bootstrap Poisoning, Partition, TLS MITM) with configurable parameters, then streams typed `SimEvent` values over SSE to a D3 topology graph that replays the simulation step by step. Three main replays are covered: Sybil slot pressure without full capture, Eclipse requiring both fake state and zero honest peers, and Bootstrap Poisoning biasing the victim's first peer list before table competition begins. The project runs locally on 127.0.0.1 and is available as an open-source Rust workspace.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://coinsbench.com/building-an-interactive-p2p-attack-gym-in-rust-e9b8e8647bb1>

## Questions this post answers

### How do you distinguish an Eclipse attack from just receiving fake peer state in a P2P network simulation?

An Eclipse attack requires that a node both receives fake state and loses all honest peer connections, expressed in code as state_diverged equaling fake_tip_received AND honest_peers == 0. Simply receiving a fake tip from an attacker is not sufficient on its own; the victim must also lose every honest path for the eclipse condition to register as successful.

_Developers building peer-to-peer attack simulations can find this kind of scenario logic explained further on daily.dev._

### How is Bootstrap Poisoning measured differently from Sybil slot-filling attacks in a P2P simulation?

Bootstrap Poisoning is measured by the ratio of Sybil peers in the very first peer list returned by a seed, calculated as bootstrap_sybil_ratio equals sybil_peers divided by total_bootstrap_peers, with success defined as that ratio reaching 50% or higher. Unlike Sybil slot-filling, which is tracked through peer slot occupancy over time, Bootstrap Poisoning targets the initial discovery step before normal peer table competition even begins.

_Anyone comparing P2P attack detection metrics can track this kind of nuance through daily.dev._

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---

Tags: [#security](https://daily.dev/tags/security), [#rust](https://daily.dev/tags/rust), [#blockchain](https://daily.dev/tags/blockchain)

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