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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 …
Revisiting of peer-to-peer traffic: taxonomy, applications, identification techniques, new trends and challenges
The services provided through peer-to-peer (P2P) architecture involve the transmission of
text, images, documents, and multimedia. Especially the distribution of multimedia content …
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
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 …
amount of network traffic. The concept of edge computing brings a new paradigm to monitor …
[PDF][PDF] Ensemble machine learning for P2P traffic identification
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 …
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
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 …
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
Identification of bandwidth-heavy Internet traffic is important for network administrators to
throttle high-bandwidth application traffic. Flow features based classification have been …
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 …
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 …
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
Managing high-bandwidth application traffic through identification of bandwidth-heavy
Internet traffic is important for network administration. classification based on statistical flow …
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
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 …
contributors of the Internet traffic [1]. The traffic such as WWW, FTP, Email, etc. use the client …