Title
A Cost-Sensitive Deep Learning-Based Approach for Network Traffic Classification
Abstract
Network traffic classification (NTC) plays an important role in cyber security and network performance, for example in intrusion detection and facilitating a higher quality of service. However, due to the unbalanced nature of traffic datasets, NTC can be extremely challenging and poor management can degrade classification performance. While existing NTC methods seek to re-balance data distribution...
Year
DOI
Venue
2022
10.1109/TNSM.2021.3112283
IEEE Transactions on Network and Service Management
Keywords
DocType
Volume
Convolutional neural networks,Costs,Deep learning,Task analysis,Generative adversarial networks,Training,Intrusion detection
Journal
19
Issue
ISSN
Citations 
1
1932-4537
1
PageRank 
References 
Authors
0.39
21
4
Name
Order
Citations
PageRank
Akbar Telikani1212.70
Amir Hossein Gandomi21836110.25
Kim-Kwang Raymond Choo34103362.49
Jun Shen421.12