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Sybil slayer

Sybil Slayer leverages wallet transaction data and AI-powered mathematical modeling to predict whether a wallet is a sybil attacker.

Sybil slayer

Created At

ETHGlobal Istanbul

Project Description

Sybil Slayer helps developers answer the rather important question: "How much does a particular wallet look like a sybil attacker or bot?" and make end users aware of their onchain status. It works pretty simple: connect your wallet, press the button, and get your status, which is calculated based on your entire onchain activity, including wallet transactions and third-party data.

How it's Made

  1. We hired the explorer's API to get wallet, transaction, and NFT movement data.
  2. We constructed variables, based on the data extracted.
  3. The mathematical model hires the method of hierarchy analysis and pairwise comparisons. These methods are chosen due to the lack of statistical data and is effective for solving multi-criteria problems.
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