Research of wireless network traffic analysis using big data processing technology

The article presents an approach to analyzing wireless network traffic implemented using Python programming language tools, in particular the Pandas library. The main purpose of the work is to show the potential application of methods of the Pandas library for analyzing wireless network traffic, and to demonstrate possible optimization of WLAN traffic research applying big data technologies. To ensure the availability and fault tolerance of wireless networks, continuous monitoring is necessary, so the actual topic of this paper is to increase the performance of tracking anomalous events in traffic during its analysis. The main tool is the Python module stack, namely NumPy, Pandas, MatPlotLib and SciPy.