Network Traffic Monitoring and Analysis (NTMA) represents a key component for network
management, especially to guarantee the correct operation of large-scale networks such as …

Internet traffic classification aims to identify the kind of Internet traffic. With the rise of traffic
encryption and multi-layer data encapsulation, some classic classification methods have lost …

With 95% of Internet traffic now encrypted, an effective approach to classifying this traffic is
crucial for network security and management. This paper introduces ECHO--a novel …

随着互联网技术的不断发展以及网络规模的不断扩大, 应用的类别纷繁复杂, 新型应用层出不穷.
为了保障用户服务质量(QoS) 并确保网络安全, 准确快速的流量分类是运营商及网络管理者亟须 …

We present a novel approach for timely classification and verification of network traffic using
Gaussian Mixture Models (GMMs). We generate a separate GMM for each class of …

Using machine learning in high-speed networks for tasks such as flow classification typically
requires either very resource efficient classification approaches, large amounts of …

The portion of IP video over the Internet has exceeded 80% and is still increasing. Therefore,
it is crucial for video service providers to satisfy the video quality experienced by the end …

For low dimensional classification problems we propose the novel DIOPT approach which
considers the construction of a discretized feature space. Predictions for all cells in this …

High level traffic characteristics have the potential to be useful for inference of various host
characteristics. This work proposes the novel Flow-Discretize Order (FDO) approach for …

Novel lookup-based classification approaches allow machine-learning (ML) to be performed
at extremely high classification rates for suitable low-dimensional classification problems. A …