A threat and monitoring model based on multi-data source information fusion

Hao Liang; Huihua Wang; Juan Zhou; Wenjing Pan

doi:10.1117/12.2656910

13 January 2023 A threat and monitoring model based on multi-data source information fusion

Hao Liang, Huihua Wang, Juan Zhou, Wenjing Pan

Proceedings Volume 12510, International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022); 125101M (2023) https://doi.org/10.1117/12.2656910
Event: International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022), 2022, Qingdao, China

Abstract

By understanding the current situation of network security, analyzing the network security monitoring model, and analyzing the attack path and abnormal behavior of the intrusion network. The abnormal behavior of the intruder at the application and network level is summarized when the intrusion occurs, and a network security model based on multidata source information fusion is proposed according to the abnormal behavior. The model proposes five modules, which can effectively improve the network security protection ability to ensure network information security.

Citation Download Citation

Hao Liang, Huihua Wang, Juan Zhou, and Wenjing Pan "A threat and monitoring model based on multi-data source information fusion", Proc. SPIE 12510, International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022), 125101M (13 January 2023); https://doi.org/10.1117/12.2656910

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