Abstract | ||
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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 |
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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 Telikani | 1 | 21 | 2.70 |
Amir Hossein Gandomi | 2 | 1836 | 110.25 |
Kim-Kwang Raymond Choo | 3 | 4103 | 362.49 |
Jun Shen | 4 | 2 | 1.12 |