Abstract
The security hidden dangers in the network will affect the normal operation of the network. Therefore, in order to better ensure the security of the network structure, it is necessary to monitor the abnormal network traffic. However, due to the low monitoring accuracy and long monitoring time of the traditional network traffic anomaly monitoring system, this paper designs a network traffic anomaly monitoring system based on data mining. Through the configuration of data acquisition equipment, analysis equipment, exception handling equipment and system management equipment, the hardware structure of the system is designed. On this basis, through the system software functions of acquisition module, data processing module, data analysis module, data application module and infrastructure management module, the abnormal monitoring of network traffic is realized through data mining. Finally, the experiment proves that the network traffic anomaly monitoring system based on data mining has higher monitoring accuracy and shorter monitoring time, which is practical in practical application and fully meets the research requirements.
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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Huang, Y., Huang, L. (2023). Design of Network Traffic Anomaly Monitoring System Based on Data Mining. In: Fu, W., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 468. Springer, Cham. https://doi.org/10.1007/978-3-031-28787-9_41
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DOI: https://doi.org/10.1007/978-3-031-28787-9_41
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