While machine learning and artificial intelligence have long been applied in networking
research, the bulk of such works has focused on supervised learning. Recently, there has …

Traffic classification acquired the interest of the Internet community early on. Different
approaches have been proposed to classify Internet traffic to manage both security and …

Traffic classification groups similar or related traffic data, which is one main stream
technique of data fusion in the field of network management and security. With the rapid …

Network intrusion detection plays a very important role in protecting computer network
security. The abnormal traffic detection and analysis by extracting the statistical features of …

Network traffic classification has become an important part of network management, which is
beneficial for achieving intelligent network operation and maintenance, enhancing the …

Network traffic classification is an important problem in network traffic analysis. It plays a vital
role in many network tasks including quality of service, firewall enforcement and security …

To cope with the varying delay and bandwidth requirements of today's mobile applications,
mobile wireless networks can profit from classifying and predicting mobile application traffic …

Software defined network (SDN) is a paradigm developed achieve great flexibility and cope
with the limitations of traditional networks architecture such as the wireless sensor networks …

Network flows build the basis of modern network data analysis by aggregating properties of
network packets with common characteristics. A consistent and unambiguous definition of …

In this paper, we present a deep neural network model to enhance the intrusion detection
performance. A deep learning architecture combining convolution neural network and long …