Infrequent Pattern Detection for Reliable Network Traffic Analysis Using Robust Evolutionary Computation

While anomaly detection is very important in many domains, such as in cybersecurity, there are many rare anomalies or infrequent patterns in cybersecurity datasets. Detection of infrequent patterns is computationally expensive. Cybersecurity datasets consist of many features, mostly irrelevant, resu...

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Detalles Bibliográficos
Autores principales: Rashid, A. N. M. Bazlur, Ahmed, Mohiuddin, Pathan, Al-Sakib Khan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123319/
https://www.ncbi.nlm.nih.gov/pubmed/33922954
http://dx.doi.org/10.3390/s21093005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123319/
https://www.ncbi.nlm.nih.gov/pubmed/33922954
http://dx.doi.org/10.3390/s21093005

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