[HTML][HTML] A comprehensive survey on machine learning for networking: evolution, applications and research opportunities
Abstract Machine Learning (ML) has been enjoying an unprecedented surge in applications
that solve problems and enable automation in diverse domains. Primarily, this is due to the …
that solve problems and enable automation in diverse domains. Primarily, this is due to the …
In-network machine learning using programmable network devices: A survey
Machine learning is widely used to solve networking challenges, ranging from traffic
classification and anomaly detection to network configuration. However, machine learning …
classification and anomaly detection to network configuration. However, machine learning …
[HTML][HTML] Network traffic classification for data fusion: A survey
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 …
technique of data fusion in the field of network management and security. With the rapid …
A survey of payload-based traffic classification approaches
M Finsterbusch, C Richter, E Rocha… - … Surveys & Tutorials, 2013 - ieeexplore.ieee.org
Internet traffic classification has been the subject of intensive study since the birth of the
Internet itself. Indeed, the evolution of approaches for traffic classification can be associated …
Internet itself. Indeed, the evolution of approaches for traffic classification can be associated …
Network traffic classification using correlation information
Traffic classification has wide applications in network management, from security monitoring
to quality of service measurements. Recent research tends to apply machine learning …
to quality of service measurements. Recent research tends to apply machine learning …
An automatic and efficient malware traffic classification method for secure Internet of Things
Malware traffic classification (MTC) plays an important role in cyber security and network
resource management for the secure Internet of Things (IoT). Many deep learning (DL) …
resource management for the secure Internet of Things (IoT). Many deep learning (DL) …
Self-attentive deep learning method for online traffic classification and its interpretability
Traffic classification is one of the fundamental tasks in computer networking. This task aims
to associate network traffic to a specific class according to the requirements (eg, QoS …
to associate network traffic to a specific class according to the requirements (eg, QoS …
Experiences of internet traffic monitoring with tstat
Since the early days of the Internet, network traffic monitoring has always played a strategic
role in understanding and characterizing users' activities. In this article, we present our …
role in understanding and characterizing users' activities. In this article, we present our …
MATEC: A lightweight neural network for online encrypted traffic classification
J Cheng, Y Wu, E Yuepeng, J You, T Li, H Li, J Ge - Computer Networks, 2021 - Elsevier
Increased awareness of privacy protection has led to a surge in the volume of encrypted
traffic, which creates a heavy burden for efficient network management (eg quality-of-service …
traffic, which creates a heavy burden for efficient network management (eg quality-of-service …
Byte segment neural network for network traffic classification
Network traffic classification, which can map network traffic to protocols in the application
layer, is a fundamental technique for network management and security issues such as …
layer, is a fundamental technique for network management and security issues such as …