Methodological Approach for Identifying Websites with Infringing Content via Text Transformers and Dense Neural Networks

Methodological Approach for Identifying Websites with Infringing Content via Text Transformers and Dense Neural Networks

The rapid evolution of the Internet of Everything (IoE) has significantly enhanced global connectivity and multimedia content sharing, simultaneously escalating the unauthorized distribution of multimedia content, posing risks to intellectual property rights. In 2022 alone, about 130 billion accesse...

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Bibliographic Details
Main Authors: Aldo Hernandez-Suarez, Gabriel Sanchez-Perez, Linda Karina Toscano-Medina, Hector Manuel Perez-Meana, Jose Portillo-Portillo, Jesus Olivares-Mercado
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Future Internet
Subjects:
dense neural network
privacy violations
illegal download
BERT
natural language processing
infringing content
Online Access:https://www.mdpi.com/1999-5903/15/12/397

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https://www.mdpi.com/1999-5903/15/12/397

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