ITC-Net-blend-60: a comprehensive dataset for robust network traffic classification in diverse environments.

ABSTRACT:

Objectives

Recognition of mobile applications within encrypted network traffic holds considerable effects across multiple domains, encompassing network administration, security, and digital marketing. The creation of network traffic classifiers capable of adjusting to dynamic and unforeseeable real-world settings presents a tremendous challenge. Presently available datasets exclusively encompass traffic data obtained from a singular network environment, thereby restricting their utility in evaluating the robustness and compatibility of a given model.

Data description

This dataset was gathered from 60 popular Android applications in five different network scenarios, with the intention of overcoming the limitations of previous datasets. The scenarios were the same in the appli

SUBMITTER: Bayat M 

PROVIDER: S-EPMC11179189 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature