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Anatomy and Visualization of the Network structure of the Dark web using multi-threaded crawler

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## Description A database manager for the `Crawler` and the `Extractor` modules. Neo4j is the most suitable candidate of all as it's fast, scalable and is capable of storing huge...

documentation
enhancement

**Is your feature request related to a problem? Please describe.** Extractor takes maximum file name length under consideration and creates sub-directories based on the url. `http://a.com/b.ext?x=&y=$%z2` -> `a.com/b.extxyz2_.html` (`a.com` folder...

enhancement
question

**Is your feature request related to a problem? Please describe.** Incremental Crawler visits a specific site multiple times in a specific interval of time. The main focus of an incremental...

enhancement
help wanted
question

**Is your feature request related to a problem? Please describe.** The Ultimate aim of the project is to detect illicit websites. As of now the algorithm uses graph knowledge to...

documentation
enhancement
question

Dark web isn't made of just `.onion` links. Dark web consist of various darknets such as tor, I2P and freenet. These darknets also holds considerable amount of data. As they...

enhancement
hacktoberfest

The distribution of the distance between connected pairs with the percentage of connected pairs. ![Fig 7](https://user-images.githubusercontent.com/43103163/192029835-cf389bb8-acbd-43ef-b734-bcf985d6c3ec.jpg)

enhancement
hacktoberfest

TLD wise distribution of incoming links from dark web to the surface web. ![Fig 9](https://user-images.githubusercontent.com/43103163/192030010-902427a6-d972-4c37-a55a-d3ea78aa5cf9.jpg)

enhancement
hacktoberfest

Lay down the actual finding from all the graphs and insights. Must be logged in a file for further study.

enhancement
hacktoberfest