Jun 1, 2024 · Motivated by the importance of network traffic classification, this study provides a comprehensive survey of the most prevalent traffic classification techniques.

Mar 4, 2025 · This study uses various models to address network traffic classification, categorizing traffic into web, browsing, IPSec, backup, and email. We collected a comprehensive dataset from Arbor …

Traffic classification is an automated process which categorises computer network traffic according to various parameters (for example, based on port number or protocol) into a number of traffic classes. [1]

Aug 29, 2024 · Extensive literature on network traffic detection and classification methods informs the approach, highlighting various techniques and identifying research gaps.

In this article, we propose a multimodel learning approach for both accurate and efficient traffic classification to address the above challenge. Our key insight is that network traffic is multimodel …

Jun 23, 2024 · Existing techniques often have problems effectively identifying and establishing network traffic patterns. This research seeks to fill this gap by offering an updated approach to network traffic …

In response to the proliferation of diverse network traffic patterns from Internet-of-Things devices, websites, and mobile applications, understanding and classifying encrypted traffic are crucial for …

Nov 20, 2025 · What is traffic classification and why does an operator need it? Traffic classification is a way to “mark” all packets traveling across the network and decide which ones are more important …

May 9, 2025 · In this paper, we implemented two network traffic classification models, i.e., raw-data-based and feature-based. The main goal is to conduct a comparison between the two approaches.

Traffic classification is the process of categorizing network traffic based on characteristics such as packet size distribution and port association to identify different applications or services running on a …