Data-Driven Network Analysis for Anomaly Traffic Detection

Cybersecurity is a critical issue in today’s internet world. Classical security systems, such as firewalls based on signature detection, cannot detect today’s sophisticated zero-day attacks. Machine learning (ML) based solutions are more attractive for their capabilities of detecting anomaly traffic...

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Detalles Bibliográficos
Autores principales: Alam, Shumon, Alam, Yasin, Cui, Suxia, Akujuobi, Cajetan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10574999/
https://www.ncbi.nlm.nih.gov/pubmed/37837004
http://dx.doi.org/10.3390/s23198174

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10574999/
https://www.ncbi.nlm.nih.gov/pubmed/37837004
http://dx.doi.org/10.3390/s23198174

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