Machine learning-based anomaly detection in NFV: a comprehensive survey

• Main Authors: Sehar Zehra, Ummay Faseeha, Hassan Jamil Syed, Fahad Samad, Ashraf Osman Ibrahim Elsayed, Anas W. Abulfaraj, Wamda Nagmeldin
• Format: Article
• Language: English; English
• Published: MDPI 2023
• Subjects: Q300-390 Cybernetics; TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
• Online Access: https://eprints.ums.edu.my/id/eprint/38205/1/ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/38205/2/FULL%20TEXT.pdf; https://eprints.ums.edu.my/id/eprint/38205/; https://www.mdpi.com/1424-8220/23/11/5340#

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...