A review on machine learning–based approaches for Internet traffic classification
Traffic classification acquired the interest of the Internet community early on. Different
approaches have been proposed to classify Internet traffic to manage both security and …
approaches have been proposed to classify Internet traffic to manage both security and …
Mobile encrypted traffic classification using deep learning: Experimental evaluation, lessons learned, and challenges
The massive adoption of hand-held devices has led to the explosion of mobile traffic
volumes traversing home and enterprise networks, as well as the Internet. Traffic …
volumes traversing home and enterprise networks, as well as the Internet. Traffic …
[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 …
Large-scale mobile app identification using deep learning
Many network services and tools (eg network monitors, malware-detection systems, routing
and billing policy enforcement modules in ISPs) depend on identifying the type of traffic that …
and billing policy enforcement modules in ISPs) depend on identifying the type of traffic that …
EBSNN: Extended byte segment neural network for network traffic classification
Network traffic classification is important to intrusion detection and network management.
Most of existing methods are based on machine learning techniques and rely on the …
Most of existing methods are based on machine learning techniques and rely on the …
Encrypted traffic classification based on text convolution neural networks
M Song, J Ran, S Li - 2019 IEEE 7th International Conference …, 2019 - ieeexplore.ieee.org
Traffic classification is of great significance to network management. With the wide
application of encryption technology, traditional traffic classification methods are no longer …
application of encryption technology, traditional traffic classification methods are no longer …
Marina: Realizing ML-Driven Real-Time Network Traffic Monitoring at Terabit Scale
Network operators require real-time traffic monitoring insights to provide high performance
and security to their customers. It has been shown that artificial intelligence and machine …
and security to their customers. It has been shown that artificial intelligence and machine …
An efficient reliability guaranteed deployment scheme for service function chains
This paper encloses an in-depth investigation of a novel cost-efficient reliability-guaranteed
deployment scheme for service function chains (SFCs) to tackle the drawbacks of the …
deployment scheme for service function chains (SFCs) to tackle the drawbacks of the …
iTeleScope: Softwarized network middle-box for real-time video telemetry and classification
HH Gharakheili, M Lyu, Y Wang… - … on Network and …, 2019 - ieeexplore.ieee.org
Video continues to dominate network traffic, yet operators today have poor visibility into the
number, duration, and resolutions of the video streams traversing their domain. Current …
number, duration, and resolutions of the video streams traversing their domain. Current …
Online classification of network traffic based on granular computing
At Presently, it is still a great challenge to achieve online classification of traffic flows due to
the highly varying network environments, eg, unpredictable new traffic classes, network …
the highly varying network environments, eg, unpredictable new traffic classes, network …