Machine Learning in Network Anomaly Detection: A Survey

Machine Learning in Network Anomaly Detection: A Survey

Anomalies could be the threats to the network that have ever/never happened. To protect networks against malicious access is always challenging even though it has been studied for a long time. Due to the evolution of network in both new technologies and fast growth of connected devices, network atta...

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Bibliographic Details
Main Authors: Song Wang, Juan Fernando Balarezo, Sithamparanathan Kandeepan, Akram Al-Hourani, Karina Gomez Chavez, Benjamin Rubinstein
Format: article
Language:EN
Published: IEEE 2021
Subjects:
Machine learning
anomaly detection
network security
software defined network
Internet of Things
cloud network
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Online Access:https://doaj.org/article/365bbd791aa24ac0a84c447c4d5da395
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https://doaj.org/article/365bbd791aa24ac0a84c447c4d5da395

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