Network Meddling Detection Using Machine Learning Empowered with Blockchain Technology

The study presents a framework to analyze and detect meddling in real-time network data and identify numerous meddling patterns that may be harmful to various communication means, academic institutes, and other industries. The major challenge was to develop a non-faulty framework to detect meddling...

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Detalles Bibliográficos
Autores principales: Nasir, Muhammad Umar, Khan, Safiullah, Mehmood, Shahid, Khan, Muhammad Adnan, Zubair, Muhammad, Hwang, Seong Oun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500681/
https://www.ncbi.nlm.nih.gov/pubmed/36146104
http://dx.doi.org/10.3390/s22186755

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500681/
https://www.ncbi.nlm.nih.gov/pubmed/36146104
http://dx.doi.org/10.3390/s22186755

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