Log in to save to my catalogue

Machine Learning-Based Anomaly Detection in NFV: A Comprehensive Survey

Machine Learning-Based Anomaly Detection in NFV: A Comprehensive Survey

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_22dfcd983d6747e8b27e20f0a99ba5ad

Machine Learning-Based Anomaly Detection in NFV: A Comprehensive Survey

About this item

Full title

Machine Learning-Based Anomaly Detection in NFV: A Comprehensive Survey

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2023-06, Vol.23 (11), p.5340

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Network function virtualization (NFV) is a rapidly growing technology that enables the virtualization of traditional network hardware components, offering benefits such as cost reduction, increased flexibility, and efficient resource utilization. Moreover, NFV plays a crucial role in sensor and IoT networks by ensuring optimal resource usage and ef...

Alternative Titles

Full title

Machine Learning-Based Anomaly Detection in NFV: A Comprehensive Survey

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_22dfcd983d6747e8b27e20f0a99ba5ad

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_22dfcd983d6747e8b27e20f0a99ba5ad

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s23115340

How to access this item