Cargando…
Examining the Suitability of NetFlow Features in Detecting IoT Network Intrusions
The past few years have witnessed a substantial increase in cyberattacks on Internet of Things (IoT) devices and their networks. Such attacks pose a significant threat to organizational security and user privacy. Utilizing Machine Learning (ML) in Intrusion Detection Systems (NIDS) has proven advant...
Autores principales: | Awad, Mohammed, Fraihat, Salam, Salameh, Khouloud, Al Redhaei, Aneesa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9412997/ https://www.ncbi.nlm.nih.gov/pubmed/36015924 http://dx.doi.org/10.3390/s22166164 |
Ejemplares similares
-
NetFlow: A tool for isolating carbon flows in genome-scale metabolic networks
por: Mack, Sean G., et al.
Publicado: (2020) -
Network security with NetFlow and IPFIX: big data analytics for information security
por: Santos, Omar
Publicado: (2016) -
Netflow at Pisa
por: Gallo, Giorgio, et al.
Publicado: (1986) -
Flow-Data Gathering Using NetFlow Sensors for Fitting Malicious-Traffic Detection Models
por: Campazas-Vega, Adrián, et al.
Publicado: (2020) -
Towards an Explainable Universal Feature Set for IoT Intrusion Detection
por: Alani, Mohammed M., et al.
Publicado: (2022)