Data Transformation Schemes for CNN-Based Network Traffic Analysis: A Survey

The enormous growth of services and data transmitted over the internet, bloodstream modern civilization, has caused a remarkable increase in cyber attack threats. This fact forced development methods preventing attacks. Among them, an important constantly growing role is that machine learning (ML) approaches. Convolutional neural networks (CNN) belong to hottest ML techniques have gained popularity, thanks rapid computing power available. Thus, it no wonder these started also be applied network traffic classification domain. resulted constant number scientific papers describing various approaches CNN-based analysis. paper survey prepared with particular emphasis on crucial but often disregarded aspect this topic—the transformation schemes. Their importance consequence totally different structures. former time series values—consecutive bytes datastream. latter, turn, are one-, two- or even three-dimensional samples fixed lengths/sizes. In paper, we introduce taxonomy Next, use categorization describe analytical found literature.