[HTML][HTML] Network traffic classification: Techniques, datasets, and challenges
In network traffic classification, it is important to understand the correlation between network
traffic and its causal application, protocol, or service group, for example, in facilitating lawful …
traffic and its causal application, protocol, or service group, for example, in facilitating lawful …
Machine learning techniques in optical networks: a systematic mapping study
G Villa, C Tipantuña, DS Guamán, GV Arévalo… - IEEE …, 2023 - ieeexplore.ieee.org
During the last decade, optical networks have become “smart networks”. Software-defined
networks, software-defined optical networks, and elastic optical networks are some …
networks, software-defined optical networks, and elastic optical networks are some …
An unsupervised deep learning model for early network traffic anomaly detection
Various attacks have emerged as the major threats to the success of a connected world like
the Internet of Things (IoT), in which billions of devices interact with each other to facilitate …
the Internet of Things (IoT), in which billions of devices interact with each other to facilitate …
[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 on big data for network traffic monitoring and analysis
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 …
management, especially to guarantee the correct operation of large-scale networks such as …
Multi-classification approaches for classifying mobile app traffic
The growing usage of smartphones in everyday life is deeply (and rapidly) changing the
nature of traffic traversing home and enterprise networks, and the Internet. Different tools …
nature of traffic traversing home and enterprise networks, and the Internet. Different tools …
Independent comparison of popular DPI tools for traffic classification
T Bujlow, V Carela-Español, P Barlet-Ros - Computer Networks, 2015 - Elsevier
Abstract Deep Packet Inspection (DPI) is the state-of-the-art technology for traffic
classification. According to the conventional wisdom, DPI is the most accurate classification …
classification. According to the conventional wisdom, DPI is the most accurate classification …
ndpi: Open-source high-speed deep packet inspection
Network traffic analysis was traditionally limited to packet header, because the transport
protocol and application ports were usually sufficient to identify the application protocol. With …
protocol and application ports were usually sufficient to identify the application protocol. With …
On internet traffic classification: a two‐phased machine learning approach
Traffic classification utilizing flow measurement enables operators to perform essential
network management. Flow accounting methods such as NetFlow are, however, considered …
network management. Flow accounting methods such as NetFlow are, however, considered …
I know what you saw last minute—encrypted http adaptive video streaming title classification
Desktops can be exploited to violate privacy. There are two main types of attack scenarios:
active and passive. We consider the passive scenario where the adversary does not interact …
active and passive. We consider the passive scenario where the adversary does not interact …