A Review on Machine Learning Approaches for Network Malicious Behavior Detection in Emerging Technologies

A Review on Machine Learning Approaches for Network Malicious Behavior Detection in Emerging Technologies

Network anomaly detection systems (NADSs) play a significant role in every network defense system as they detect and prevent malicious activities. Therefore, this paper offers an exhaustive overview of different aspects of anomaly-based network intrusion detection systems (NIDSs). Additionally, cont...

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Bibliographic Details
Main Authors: Mahdi Rabbani, Yongli Wang, Reza Khoshkangini, Hamed Jelodar, Ruxin Zhao, Sajjad Bagheri Baba Ahmadi, Seyedvalyallah Ayobi
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Entropy
Subjects:
machine learning
classifier systems
malicious behavior detection systems
dataset
data pre-processing
Online Access:https://www.mdpi.com/1099-4300/23/5/529

Internet

https://www.mdpi.com/1099-4300/23/5/529

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