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Network intrusion detection using oversampling technique and machine learning algorithms
The expeditious growth of the World Wide Web and the rampant flow of network traffic have resulted in a continuous increase of network security threats. Cyber attackers seek to exploit vulnerabilities in network architecture to steal valuable information or disrupt computer resources. Network Intrus...
Autores principales: | Ahmed, Hafiza Anisa, Hameed, Anum, Bawany, Narmeen Zakaria |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8771780/ https://www.ncbi.nlm.nih.gov/pubmed/35111914 http://dx.doi.org/10.7717/peerj-cs.820 |
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