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 …
Supervised feature selection techniques in network intrusion detection: A critical review
Abstract Machine Learning (ML) techniques are becoming an invaluable support for network
intrusion detection, especially in revealing anomalous flows, which often hide cyber-threats …
intrusion detection, especially in revealing anomalous flows, which often hide cyber-threats …
Network traffic classifier with convolutional and recurrent neural networks for Internet of Things
A network traffic classifier (NTC) is an important part of current network monitoring systems,
being its task to infer the network service that is currently used by a communication flow (eg …
being its task to infer the network service that is currently used by a communication flow (eg …
[PDF][PDF] Characterization of encrypted and vpn traffic using time-related
G Draper-Gil, AH Lashkari, MSI Mamun… - Proceedings of the …, 2016 - scitepress.org
Traffic characterization is one of the major challenges in today's security industry. The
continuous evolution and generation of new applications and services, together with the …
continuous evolution and generation of new applications and services, together with the …
Porosity prediction: Supervised-learning of thermal history for direct laser deposition
The objective of this study is to investigate the relationship between the melt pool
characteristics and the defect occurrence in an as-built additive manufacturing part. One of …
characteristics and the defect occurrence in an as-built additive manufacturing part. One of …
UbeHealth: A personalized ubiquitous cloud and edge-enabled networked healthcare system for smart cities
Smart city advancements are driving massive transformations of healthcare, the largest
global industry. The drivers include increasing demands for ubiquitous, preventive, and …
global industry. The drivers include increasing demands for ubiquitous, preventive, and …
Datanet: Deep learning based encrypted network traffic classification in sdn home gateway
A smart home network will support various smart devices and applications, eg, home
automation devices, E-health devices, regular computing devices, and so on. Most devices …
automation devices, E-health devices, regular computing devices, and so on. Most devices …
Issues and future directions in traffic classification
A Dainotti, A Pescape, KC Claffy - IEEE network, 2012 - ieeexplore.ieee.org
Traffic classification technology has increased in relevance this decade, as it is now used in
the definition and implementation of mechanisms for service differentiation, network design …
the definition and implementation of mechanisms for service differentiation, network design …
Robust network traffic classification
As a fundamental tool for network management and security, traffic classification has
attracted increasing attention in recent years. A significant challenge to the robustness of …
attracted increasing attention in recent years. A significant challenge to the robustness of …
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 …