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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,...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| 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 |