Empowering Digital Rights: Real-Time Detection of Piracy Channels on Telegram using Machine Learning and Network Analysis

Although Telegram is a highly secured messaging platform, it has also been misused as a medium for distributing illicit content like web series, movies, and other copyright materials. The security and scalability of Telegram make it difficult to detect and eliminate these piracy routes efficiently. This research aims to study the existing techniques used in identifying pirated Telegram channels. At the same time, a new approach is presented in this research based on network analysis, machine learning, and natural language processing techniques in identifying pirated content. The results show how effectively the proposed approach can be used in identifying piracy channels up to 92% accuracy. The main aim of conducting this research is to develop a system that can identify and report pirated channels in Telegram and similar platforms.