| Autor: |
Songailaitė, Milita, Rafanavičius, Vytautas, Krilavičius, Tomas |
| Předmět: |
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| Zdroj: |
International Journal of Design, Analysis & Tools for Integrated Circuits & Systems; Nov2020, Vol. 9 Issue 1, p29-33, 5p |
| Abstrakt: |
Visualization systems are becoming increasingly popular for network data analysis. There had been many approaches to visualize network traffic and detect anomalous events. However, most of the systems faced various difficulties, including high volumes of data, insufficient number of method dimensions and uninformative results achieved with visualizations. In this paper we present our approach to network data visualization. The system works with four local addresses and provides detailed information about their traffic. Server load graphs and chord diagrams were used to obtain information about local addresses and combination of these methods was used to create a framework of network flow monitoring. Our system analysis showed that it is possible to identify multiple valid or invalid logins, remote large data transmissions, and sudden changes in server load. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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