Development of a Machine-Learning Intrusion Detection System and Testing of Its Performance Using a Generative Adversarial Network

Intrusion detection and prevention are two of the most important issues to solve in network security infrastructure. Intrusion detection systems (IDSs) protect networks by using patterns to detect malicious traffic. As attackers have tried to dissimulate traffic in order to evade the rules applied,...

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Detalles Bibliográficos
Autores principales: Mari, Andrei-Grigore, Zinca, Daniel, Dobrota, Virgil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919617/
https://www.ncbi.nlm.nih.gov/pubmed/36772355
http://dx.doi.org/10.3390/s23031315

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919617/
https://www.ncbi.nlm.nih.gov/pubmed/36772355
http://dx.doi.org/10.3390/s23031315

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