Network Traffic Analysis using Big Data and Deep Learning Techniques

Today the world is experiencing a rapid revolution in the field of information technology, several apparatus and devices generate data and exchange them through the network, these exchanges are not generally secured, they may contain hidden new attacks and intrusions undetectable by the existing tools of security. In addition, the increasing volume and the variety of data of these exchanges make the detection of the menaces more difficult. To solve these problems, we propose in this paper, a new idea of network traffic analysis based on gathering large data of traffic of the network using Big Data frameworks, and analyzing it with Deep Learning techniques in order to identify new invisible threats.