Detection of Media Piracy using Artificial Intelligence, Machine Learning and Data Mining

Prof. Chaitanya Mankar
2019 International Journal for Research in Applied Science and Engineering Technology  
We know that Web Technology is evolving continuously day by day which helps media creators in marketing and distribution of media content. Even though these technologies help the creator and the users, it will also have a high chance of increasing pirated contents distribution and redistribution. As people have so many different ways to share and distribute the web content like Free Cloud Spaces , Social Networking Portals, Email, Drives, Chats etc., so finding or detecting these contents
more » ... hese contents manually is a difficult and time consuming task. We can make use of concepts like ML and AI to fight piracy by using content monitoring solutions. In this paper, it have been explained that how we can use the different techniques of DM, AI and ML to search the web contents and identify piracy threats which must be managed in and efficient way. Using different web services and the concept of machine learning, the system will produce data of the searched contents of media with various information like IP Addresses, source of piracy, time, region, period etc. Also the system is going to store or find out the blacklisted and untrusted websites and webpages which in turn can be used by different Private Organizations or Government Agencies to get rid of the Piracy.
doi:10.22214/ijraset.2019.5067 fatcat:losmhlf4obf2foj6pxwmuhcjsu