Deep Learning for Network Traffic Monitoring and Analysis (NTMA): A Survey

Abstract Modern communication systems and networks, e.g., Internet of Things (IoT) cellular generate a massive heterogeneous amount traffic data. In such the traditional network management techniques for monitoring data analytics face some challenges issues, accuracy, effective processing big in real-time fashion. Moreover, pattern traffic, especially shows very complex behavior because various factors, as device mobility heterogeneity. Deep learning has been efficiently employed to facilitate knowledge discovery recognize hidden patterns. Motivated by these successes, researchers field networking apply deep models Network Traffic Monitoring Analysis (NTMA) applications, classification prediction. This paper provides comprehensive review on applications NTMA. We first provide fundamental background relevant our review. Then, we give an insight into confluence NTMA, proposed NTMA applications. Finally, discuss key challenges, open future research directions using