8 citations · 18 across the 3 of their papers we have counts for
6 papers
ByteSGAN: A Semi-supervised Generative Adversarial Network for Encrypted Traffic Classification of SDN Edge Gateway in Green Communication Network
Pan Wang, Zixuan Wang, Feng Ye +1
With the rapid development of Green Communication Network, the types and quantity of network traffic data are accordingly increasing. Network traffic classification become a non-tr…
Autonomous Unknown-Application Filtering and Labeling for DL-based Traffic Classifier Update
Jielun Zhang, Fuhao Li, Feng Ye +1
Network traffic classification has been widely studied to fundamentally advance network measurement and management. Machine Learning is one of the effective approaches for network…
PacketCGAN: Exploratory Study of Class Imbalance for Encrypted Traffic Classification Using CGAN
Pan Wang, Shuhang Li, Feng Ye +2
With more and more adoption of Deep Learning (DL) in the field of image processing, computer vision and NLP, researchers have begun to apply DL to tackle with encrypted traffic cla…
A Hierarchical Approach to Encrypted Data Packet Classification in Smart Home Gateways
Xuejiao Chen, Jiahui Yu, Feng Ye +1
With the pervasive network based services in smart homes, traditional network management cannot guarantee end-user quality-of-experience (QoE) for all applications. End-user QoE mu…
A Smart Home Gateway Platform for Data Collection and Awareness
Pan Wang, Feng Ye, Xuejiao Chen
Smart homes have attracted much attention due to the expanding of Internet-of-Things (IoT) and smart devices. In this paper, we propose a smart gateway platform for data collection…
A Fog-based Architecture and Programming Model for IoT Applications in the Smart Grid
Pan Wang, Shidong Liu, Feng Ye +1
The smart grid utilizes many Internet of Things (IoT) applications to support its intelligent grid monitoring and control. The requirements of the IoT applications vary due to diff…