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 …
A survey of techniques for internet traffic classification using machine learning
TTT Nguyen, G Armitage - IEEE communications surveys & …, 2008 - ieeexplore.ieee.org
The research community has begun looking for IP traffic classification techniques that do not
rely onwell known'TCP or UDP port numbers, or interpreting the contents of packet …
rely onwell known'TCP or UDP port numbers, or interpreting the contents of packet …
Classifying IoT devices in smart environments using network traffic characteristics
A Sivanathan, HH Gharakheili, F Loi… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
The Internet of Things (IoT) is being hailed as the next wave revolutionizing our society, and
smart homes, enterprises, and cities are increasingly being equipped with a plethora of IoT …
smart homes, enterprises, and cities are increasingly being equipped with a plethora of IoT …
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 …
TSCRNN: A novel classification scheme of encrypted traffic based on flow spatiotemporal features for efficient management of IIoT
Abstract In the Industrial Internet of Things (IIoT) in the 5G era, the growth of smart devices
will generate a large amount of data traffic, bringing a huge challenge of network traffic …
will generate a large amount of data traffic, bringing a huge challenge of network traffic …
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 …
A survey on internet traffic identification
The area of Internet traffic measurement has advanced enormously over the last couple of
years. This was mostly due to the increase in network access speeds, due to the …
years. This was mostly due to the increase in network access speeds, due to the …
Classification of encrypted traffic with second-order Markov chains and application attribute bigrams
With a profusion of network applications, traffic classification plays a crucial role in network
management and policy-based security control. The widely used encryption transmission …
management and policy-based security control. The widely used encryption transmission …
On dominant characteristics of residential broadband internet traffic
While residential broadband Internet access is popular in many parts of the world, only a few
studies have examined the characteristics of such traffic. In this paper we describe …
studies have examined the characteristics of such traffic. In this paper we describe …
Skypemorph: Protocol obfuscation for tor bridges
H Mohajeri Moghaddam, B Li, M Derakhshani… - Proceedings of the …, 2012 - dl.acm.org
The Tor network is designed to provide users with low-latency anonymous communications.
Tor clients build circuits with publicly listed relays to anonymously reach their destinations …
Tor clients build circuits with publicly listed relays to anonymously reach their destinations …