Promising new Techniques for Computer Network Traffic Classification: A Survey
| Autor: | Jan Fesl, Jan Janecek, Michal Konopa |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Traffic classification
Traffic analysis Artificial neural network Computer science Feature extraction 0202 electrical engineering electronic engineering information engineering 020206 networking & telecommunications Image processing 02 engineering and technology Data science Field (computer science) 020202 computer hardware & architecture Image (mathematics) |
| Zdroj: | ACIT |
| Popis: | This paper aims to give an overview of the application of image processing to network traffic analysis, including a description of the essence of the most important works in the last 15 years. The importance of efficient, automated analysis of network traffic is growing especially today, when huge volumes of diverse data need to be quickly processed. With the rapid development of artificial intelligence in the field of image processing, it seems logical to use it for analyzing network traffic image data. Recent results on this topic are very promising. |
| Databáze: | OpenAIRE |
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