May 8, 2014 · In this paper, we propose a new scheme of Robust statistical Traffic Classification (RTC) by combining supervised and unsupervised machine ...
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We propose a Robust Traffic Classification (RTC) scheme, combining supervised and unsupervised learning to ad- dress the problem of zero-day applications. • We ...
In this paper, a robust network traffic classifier is proposed which makes use of Pool-based Active Learning technique to label the raw data using features ...
This paper presents a new semi-supervised method to effectively improve traffic classification performance when few supervised training data are available.
Jun 15, 2024 · ITC-Net-blend-60: a comprehensive dataset for robust network traffic classification in diverse environments | BMC Research Notes | Full Text.
Dec 9, 2022 · We propose a weakly-supervised encrypted traffic classification method based on graph matching to tackle the critical challenge.
Oct 29, 2024 · Network Traffic Classification (NTC) plays a critical role in modern network security and management, used in various applications such as ...
The proposed RTC scheme has the capability of identifying the traffic of zero-day applications as well as accurately discriminating predefined application ...
Robust network traffic identification with unknown applications ... Traffic classification is a fundamental component in advanced network management and security.
This dataset was gathered from 60 popular Android applications in five different network scenarios, with the intention of overcoming the limitations of ...