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Modeled Google and Bing to build a distributed search engine for the dark web

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DarkDarkGo

DarkDarkGo is a scalable search engine for the dark web. The goal of the project is to build a simple, robust search engine from scratch that can search through the dark web content.

Project Status

It is a work in progress. The last time we tested (December 2017), the dark web did not give us enough meaningful results to serve a query. However, each component was working and tested separately. Hence, this project can be used as a foundation to add more interesting features and build a more complex product.

Architecture

DarkDarkGo Design

Components

  • Crawler: Crawls the onion websites
  • Index Builder: Builds index chunk
  • Index Server: Stores replicated index chunk
  • MGMT: Serves as single master, schedules jobs for other servers and executes heartbeats messages
  • Front-End: Serves a website with Google-like interface
  • Back-End: Express server with caching and aggregation logic

API

Testing

Each component has its own Dockerfile that is ready to be built and tested.

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Modeled Google and Bing to build a distributed search engine for the dark web

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