Data Transformation Schemes for CNN-Based Network Traffic Analysis: A Survey
| Autor: | Jacek Krupski, Waldemar Graniszewski, Marcin Iwanowski |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
network traffic analysis
Traffic analysis Theoretical computer science TK7800-8360 Computer Networks and Communications Computer science business.industry Data transformation Byte Convolutional neural network visualization of traffic Traffic classification machine learning Hardware and Architecture Control and Systems Engineering Taxonomy (general) Signal Processing convolutional neural networks Cyber-attack The Internet Electrical and Electronic Engineering Electronics business network traffic images |
| Zdroj: | Electronics, Vol 10, Iss 2042, p 2042 (2021) |
| ISSN: | 2079-9292 |
| Popis: | The enormous growth of services and data transmitted over the internet, the bloodstream of modern civilization, has caused a remarkable increase in cyber attack threats. This fact has forced the development of methods of preventing attacks. Among them, an important and constantly growing role is that of machine learning (ML) approaches. Convolutional neural networks (CNN) belong to the hottest ML techniques that have gained popularity, thanks to the rapid growth of computing power available. Thus, it is no wonder that these techniques have started to also be applied in the network traffic classification domain. This has resulted in a constant increase in the number of scientific papers describing various approaches to CNN-based traffic analysis. This paper is a survey of them, prepared with particular emphasis on a crucial but often disregarded aspect of this topic—the data transformation schemes. Their importance is a consequence of the fact that network traffic data and machine learning data have totally different structures. The former is a time series of values—consecutive bytes of the datastream. The latter, in turn, are one-, two- or even three-dimensional data samples of fixed lengths/sizes. In this paper, we introduce a taxonomy of data transformation schemes. Next, we use this categorization to describe various CNN-based analytical approaches found in the literature. |
| Databáze: | OpenAIRE |
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