A review on machine learning–based approaches for Internet traffic classification

O Salman, IH Elhajj, A Kayssi, A Chehab - Annals of Telecommunications, 2020 - Springer
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 …

Revisiting of peer-to-peer traffic: taxonomy, applications, identification techniques, new trends and challenges

MSA Ansari, K Pal, MC Govil - Knowledge and Information Systems, 2023 - Springer
The services provided through peer-to-peer (P2P) architecture involve the transmission of
text, images, documents, and multimedia. Especially the distribution of multimedia content …

Edge computing intelligence using robust feature selection for network traffic classification in internet-of-things

B Mohammed, M Hamdan, JS Bassi, HA Jamil… - IEEE …, 2020 - ieeexplore.ieee.org
Internet-of-Things (IoT) devices are massively interconnected, which generates a massive
amount of network traffic. The concept of edge computing brings a new paradigm to monitor …

[PDF][PDF] Ensemble machine learning for P2P traffic identification

MSA Ansari, K Pal, MC Govil, P Govil… - International Journal of …, 2021 - academia.edu
Network traffic identification and classification in the current scenario are not only required
for traffic management but in designing a future protocol for user-specific services and …

Online P2P Internet traffic classification and mitigation based on snort and ML

HA Jamil, BM Ali, M Hamdan, AE Osman - European Journal of …, 2019 - ej-eng.org
Peer to peer applications have modified the nature of internet traffic. It will consume high
internet bandwidth and affect the performance of traditional traffic internet applications …

[PDF][PDF] Impact of packet inter-arrival time features for online peer-to-peer (P2P) classification

BMA Abdalla, M Hamdan, MS Mohammed… - International Journal of …, 2018 - core.ac.uk
Identification of bandwidth-heavy Internet traffic is important for network administrators to
throttle high-bandwidth application traffic. Flow features based classification have been …

Классификация зашифрованного трафика мобильных приложений методом машинного обучения

ОИ Шелухин, ВВ Барков… - Вопросы …, 2018 - cyberleninka.ru
Цель работы: сравнительный анализ эффективности алгоритмов классификации
Naive Bayes, C4. 5, AdaBoost, SVM, Random Forest вслучаях, когда объектом …

[PDF][PDF] Internet data traffic analysis for identifying usage trends on each day of the week in a university

AI Adekitan, COA Awosope - Indones. J. Electr. Eng. Comput. Sci, 2020 - academia.edu
Internet data traffic monitoring and management are important requirements for ensuring top
notch quality of service in a network. Data traffic logs contain useful hidden information that …

Impact of Early Estimation of Statistical Flow Features in On-line P2P Classification

BMA Abdalla, M Hamdan, EH Khalifa… - 2020 IEEE Student …, 2020 - ieeexplore.ieee.org
Managing high-bandwidth application traffic through identification of bandwidth-heavy
Internet traffic is important for network administration. classification based on statistical flow …

[PDF][PDF] 81 Classification of P2P file-sharing traffic using heuristic based and statistical based techniques

M Bhatia, V Sharma - Intelligent Circuits and Systems, 2021 - library.oapen.org
P2P technology has grown rapidly over the past decade and has been one of the largest
contributors of the Internet traffic [1]. The traffic such as WWW, FTP, Email, etc. use the client …