According to an essay by Daniel Moore and Thomas Rid, King’s College London, the Dark Web is used for several illegal activities including criminal activities, drugs, illicit finances and pornography involving violence, children, and animals. This essay is a part of a research project which looks into the relationship between privacy and security. The essay’s name isCryptopolitik and the Darknet.

As a part of their research, they analyzed 5,205 live websites belonging to the Dark Web in five weeks. They were able to classify 2,723 websites by content. Of those, 1,547 hosted illicit material which comes out to be around 57 percent.

To find out the illicit information from the internet about the Dark Web, Moore and Rid’s used a Python-based web crawler to cycle through known hidden services. Using this web crawler, they were able to catch links to other dark websites. The contents of those sites were ripped and then classified those into the different categories.

The classification of the Dark Web was based on an algorithm that had been taught to split the content into various themes. At first, Moore manually categorized 600 documents under different headings such as “drugs”, “porn”, “social”, “financial”, and a number of others. If a page didn’t display any content at all, or only had under 50 words, it was placed into the “none” category.

Once the system learned about the classification, rest of the data was automatically classified by the algorithm.

In a nutshell, this latest research provides a deeper basis for  discussion around hidden Tor services and encryption software being used for accessing the Dark Webs.