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Korolev, D., Frolov, A., Babalova, I..  2020.  Classification of Websites Based on the Content and Features of Sites in Onion Space. 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus). :1680—1683.
This paper describes a method for classifying onion sites. According to the results of the research, the most spread model of site in onion space is built. To create such a model, a specially trained neural network is used. The classification of neural network is based on five different categories such as using authentication system, corporate email, readable URL, feedback and type of onion-site. The statistics of the most spread types of websites in Dark Net are given.