Classification of Illicit Venture on Dark Web:- A Survey


Authors : Zalak Kansagra; Kiran Ahire; Pravin Mishra; Ankur Sarkar

Volume/Issue : Volume 5 - 2020, Issue 11 - November

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/2Vui88n

- Dark Web is that part of the internet which cannot be indexed by normal search engines and require special browser to access them i.e TOR. The dark web corpus has huge amount of illicit ventures which are illegal in our country as per the Indian penal code This leads to growth of illegal activities on the web. To collect and categorize the web pages that has illicit content is very time consuming and difficult as well. Hence we propose a method to effectively classify, visualize illicit ventures on the dark web. We select laws and regulations related to each type of illegal activities and trained the classifiers. From various categories of drugs, gamblers, weapons, child pornography and counterfeit credit cards, the corresponding law which prohibits them is selected for training the classifier. Then classifier algorithms like Naives Bayes classifier classify the illicit content on the web pages. The whole purpose of this project is to help the cyber bodies to be versatile and keep record of the illegal contents on web.

Keywords : Dark Web, Categorization, Illegal Websites, Indian Penal Code.

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