Abstract: In this article, we presented a visualization method for representing network traffic features using raw data of it. The raw network traffic data ...
Abstract—In this article, we presented a visualization method for representing network traffic features using raw data of it. The raw network traffic data ...
A visualization method for representing network traffic features using raw data of it using a supervised neural network and an expert-knowledge based ...
In this article, we presented a visualization method for representing network traffic features using raw data of it. The raw network traffic data was ...
This research discusses a novel application of ternary plots to the visualization of network traffic data. These plots prove to be enormously effective at ...
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In this article, we presented a visualization method for representing network traffic features using raw data of it. The raw network traffic data was ...
Jul 12, 2024 · proposed a multi-channel network traffic anomaly detection method based on decomposition and selection of feature scales, as well as fusion.
Nov 20, 2021 · Researchers have studied multiple machine learning based detection methods [9]. Supervised learning models are commonly used in anomaly ...
In our study, we propose a deep neural network for network traffic anomaly detection, called MTC-Net, as shown in Figure 1. MTC-Net consists of three main ...
Apr 28, 2024 · We validate the methodology using data sets from the core of the Internet. The results demonstrate that it indeed can identify common traffic ...