[HTML][HTML] Network traffic classification: Techniques, datasets, and challenges

A Azab, M Khasawneh, S Alrabaee, KKR Choo… - Digital Communications …, 2024 - Elsevier
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 …

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 …

An unsupervised deep learning model for early network traffic anomaly detection

RH Hwang, MC Peng, CW Huang, PC Lin… - IEEE …, 2020 - ieeexplore.ieee.org
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 …

[HTML][HTML] Network traffic classification for data fusion: A survey

J Zhao, X Jing, Z Yan, W Pedrycz - Information Fusion, 2021 - Elsevier
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 …

A survey on big data for network traffic monitoring and analysis

A D'Alconzo, I Drago, A Morichetta… - … on Network and …, 2019 - ieeexplore.ieee.org
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 …

Multi-classification approaches for classifying mobile app traffic

G Aceto, D Ciuonzo, A Montieri, A Pescapé - Journal of Network and …, 2018 - Elsevier
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 …

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 …

ndpi: Open-source high-speed deep packet inspection

L Deri, M Martinelli, T Bujlow… - … and Mobile Computing …, 2014 - ieeexplore.ieee.org
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 …

On internet traffic classification: a two‐phased machine learning approach

T Bakhshi, B Ghita - Journal of Computer Networks and …, 2016 - Wiley Online Library
Traffic classification utilizing flow measurement enables operators to perform essential
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

R Dubin, A Dvir, O Pele, O Hadar - IEEE transactions on …, 2017 - ieeexplore.ieee.org
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 …