However, the application of machine learning methods to network traffic classification based on sampled NetFlow data is poorly developed despite the fact that NetFlow is a widely extended monitoring solution routinely employed by network operators. This study addresses this issue by proposing a network ...
classification technology has become a hot topic in recent years. In this paper, a method of network traffic classification based on deep learning is proposed. Compared with the traditional machine learning method, the accuracy of network traffic classification based on deep learning has been improved...
Network Traffic Classification Based On A Deep Learning Approach Using NetFlow Data Network traffic classification is of fundamental importance to a wide range of network activities, such as security monitoring, accounting, quality of serv... L Zhang,J Wang - 《Computer Journal》 被引量: 0发表: ...
Network Traffic Classification Based On A Deep Learning Approach Using NetFlow Data Long Zhang,Jinsong Wang - 《Computer Journal》 - 2022 - 被引量: 0 Re-architecting Traffic Analysis with Neural Network Interface Cards G....
Hierarchical Real-time Network Traffic Classification Based on ECOC Classification of network traffic is basic and essential for manynetwork researches and managements. With the rapid development ofpeer-to-peer (P2P) applic... Y Zhao,X Xiao,M Jiang - 《Telkomnika Indonesian Journal of Electrical En...
Keywords: Network traffic classification; Machine learning; Neural network; Spectral clustering; Semi-supervised method 简略字表简略字表简略字表 TCP/IP Transmission Control Protocol/Internet Protocol FCBF Fast Correlation-based Filter FFNN Feed-Forward Neural Network SOM Self-organizing Feature Maps PNN ...
lest additional burden on the processor. Zou et al. [34] proposed a method for cryptographic traffic classification method based on convolutional Long Short-Term Memory (LSTM) neural networks. However, after a long period of training and increasing of the number of layers, the problem of gradien...
These recommendations, based on live metrics that reveal values that fall outside a predetermined threshold, are much more valuable than general best practice advice since they're specific to your environment and will show the actual improvement once the recommended changes have been made.Network ...
这是2015年发表在IEEE Conference on Communications and Network Security会议的一篇文章,这个会议是一个非常年轻会议,现在处于上升期,其中的论文质量也呈现越来越高的趋势。下面笔者将带着各位仔细研读这篇文章。 01 简介 恶意代码为了获取新任务、升级更新、传输窃取的数据,会和其C&C中心使用常见的协议进行通信,以绕...
Network Traffic Classification Based On A Deep Learning Approach Using NetFlow Data Network traffic classification is of fundamental importance to a wide range of network activities, such as security monitoring, accounting, quality of serv... L Zhang,J Wang - 《Computer Journal》 被引量: 0发表: ...