Intelligently modeling, detecting, and scheduling elephant flows in software defined energy cloud: A survey

LX Liao, HC Chao, MY Chen - Journal of Parallel and Distributed …, 2020 - Elsevier
Elephant flows (elephants) refer to the sequences of packets that contribute only 10% of the
total volume but consume over 90% of the network bandwidth. They often cause network …

Elephant flow detection intelligence for software-defined networks: a survey on current techniques and future direction

M Hamdan, H Elshafie, S Salih, S Abdelsalam… - Evolutionary …, 2024 - Springer
Software-defined networking (SDN) is characterized by the separation of the packet
forwarding plane from the network control plane. This separation offers an extensive view of …

[HTML][HTML] Granular classifier: Building traffic granules for encrypted traffic classification based on granular computing

X Jing, J Zhao, Z Yan, W Pedrycz, X Li - Digital Communications and …, 2022 - Elsevier
Accurate classification of encrypted traffic plays an important role in network management.
However, current methods confronts several problems: inability to characterize traffic that …

A survey of network traffic classification methods using machine learning

AI Getman, MK Ikonnikova - Programming and Computer Software, 2022 - Springer
This survey is devoted to the task of network traffic classification, specifically, to the use of
machine learning algorithms in this task. The survey begins with the description of the task …

A VPN-encrypted traffic identification method based on ensemble learning

J Cao, XL Yuan, Y Cui, JC Fan, CL Chen - Applied Sciences, 2022 - mdpi.com
One of the foundational and key means of optimizing network service in the field of network
security is traffic identification. Various data transmission encryption technologies have been …

Machine learning based classification accuracy of encrypted service channels: analysis of various factors

A Safari Khatouni, N Seddigh, B Nandy… - Journal of Network and …, 2021 - Springer
Visibility into network traffic is a key requirement for different security and network monitoring
tools. Recent trends in the evolution of Internet traffic present a challenge for traditional traffic …

[HTML][HTML] Обзор методов классификации сетевого трафика с использованием машинного обучения

АИ Гетьман, МК Иконникова - Труды Института системного …, 2020 - cyberleninka.ru
В статье рассматривается задача классификации сетевого трафика с использованием
методов машинного обучения. Приводятся различные постановки задачи …

[HTML][HTML] Методика сбора обучающего набора данных для модели обнаружения компьютерных атак

АИ Гетьман, МН Горюнов, АГ Мацкевич… - Труды Института …, 2021 - cyberleninka.ru
В работе рассмотрены вопросы обучения моделей обнаружения компьютерных атак,
основанных на применении методов машинного обучения. Последовательно …

A survey of network traffic classification

AI GETMAN, MK Ikonnikova - Proceedings of the …, 2021 - ispranproceedings.elpub.ru
This survey is dedicated to the task of network traffic classification, particularly to the use of
machine learning algorithms in this task. The survey begins with the description of the task …

[PDF][PDF] A review on internet traffic classification based on artificial intelligence techniques

MP Malek, S Naderi, HG Garakani - International Journal of …, 2022 - academia.edu
Almost every industry has revolutionized with Artificial Intelligence. The telecommunication
industry is one of them to improve customers' Quality of Services and Quality of Experience …