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AnonXpose - Unveiling Dark Web Activities Through Blockchain Analysis

AnonXpose is a powerful tool designed to analyze and de-anonymize cryptocurrency transactions, focusing on dark web activities. The project leverages blockchain analysis and machine learning to track major dark web sites and identify entities operating within the dark web.

Features

  • Multi-layer Tracking Model: Analyzes both dark web and blockchain data for comprehensive tracking.
  • Address Matching Algorithm: Identifies and traces cryptocurrency addresses.
  • Multilayer Clustering Algorithm: Clusters Bitcoin transactions to identify patterns.
  • Machine Learning Integration: Utilizes ML algorithms for analyzing interactions and mapping identities using techniques like CEX, ENS, and NFTs.
  • Visualization Dashboard: Provides insights through a user-friendly interface for tracking and understanding transaction flows.

Technologies Used

  • Blockchain Analysis:

    • Ethereum (ETH)
    • Bitcoin (BTC)
    • Monero (XMR)

  • Machine Learning:

    • Address Matching
    • Clustering Algorithms
    • Identity Mapping

  • Frontend:

    • HTML
    • CSS
    • JavaScript
    • Vite

  • Backend:

    • Node.js
    • Python (for ML models)

Installation

To set up the project locally, follow these steps:

  1. Clone the Repository: 
    git clone https://github.com/yourusername/anonxpose.git