Cargando…
Enhanced Network Intrusion Detection System
A reasonably good network intrusion detection system generally requires a high detection rate and a low false alarm rate in order to predict anomalies more accurately. Older datasets cannot capture the schema of a set of modern attacks; therefore, modelling based on these datasets lacked sufficient...
Autores principales: | Kotecha, Ketan, Verma, Raghav, Rao, Prahalad V., Prasad, Priyanshu, Mishra, Vipul Kumar, Badal, Tapas, Jain, Divyansh, Garg, Deepak, Sharma, Shakti |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659770/ https://www.ncbi.nlm.nih.gov/pubmed/34883839 http://dx.doi.org/10.3390/s21237835 |
Ejemplares similares
-
Deep learning-based important weights-only transfer learning approach for COVID-19 CT-scan classification
por: Choudhary, Tejalal, et al.
Publicado: (2022) -
An Explainable Intelligence Driven Query Prioritization Using Balanced Decision Tree Approach for Multi-Level Psychological Disorders Assessment
por: Mishra, Sushruta, et al.
Publicado: (2021) -
Enhanced lung image segmentation using deep learning
por: Gite, Shilpa, et al.
Publicado: (2022) -
Network intrusion detection
por: Northcutt, Stephen, et al.
Publicado: (2003) -
Intrusion Detection Networks
por: Fung, Carol, et al.
Publicado: (2013)