2020
DOI: 10.21203/rs.3.rs-34589/v1
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Visual Analytics for Network Events Classification in LAN With Deep Convolutional Neural Network

Abstract: This article illustrates a method of visualizing network traffic in LAN based on the Hilbert Curve structure and the array exchange and projection, with nine types of protocols’ communication frequency information as the discriminators, the results of which we call them feature maps of network events. Several known scan cases are simulated in LANs and network traffic is collected for generating feature maps under each case. In order to solve this multi-label classification task, we adopt and train a deep convo… Show more

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