Affiliation:
1. Instituto Politecnico Nacional, ESIME Culhuacan, Mexico City 04440, Mexico
Abstract
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 accesses to potentially non-compliant websites were recorded, underscoring the challenges for industries reliant on copyright-protected assets. Amidst prevailing uncertainties and the need for technical and AI-integrated solutions, this study introduces two pivotal contributions. First, it establishes a novel taxonomy aimed at safeguarding and identifying IoE-based content infringements. Second, it proposes an innovative architecture combining IoE components with automated sensors to compile a dataset reflective of potential copyright breaches. This dataset is analyzed using a Bidirectional Encoder Representations from Transformers-based advanced Natural Language Processing (NLP) algorithm, further fine-tuned by a dense neural network (DNN), achieving a remarkable 98.71% accuracy in pinpointing websites that violate copyright.
Subject
Computer Networks and Communications
Reference106 articles.
1. Graham, M., and Dutton, W.H. (2019). Society and the Internet: How Networks of Information and Communication are Changing Our Lives, Oxford University Press.
2. Roblek, V., Meško, M., Bach, M.P., Thorpe, O., and Šprajc, P. (2020). The interaction between internet, sustainable development, and emergence of society 5.0. Data, 5.
3. Advances in the development of power supplies for the internet of everything;Fan;InfoMat,2019
4. Farias da Costa, V.C., Oliveira, L., and de Souza, J. (2021). Internet of everything (IoE) taxonomies: A survey and a novel knowledge-based taxonomy. Sensors, 21.
5. (2023, October 21). Digital 2022: Global Overview Report. Available online: https://datareportal.com/reports/digital-2022-global-overview-report.