Hierarchical density-based clustering of unknown protocol message

Zhiqiang Liu; Bin Wu

doi:10.1117/12.2635962

5 May 2022 Hierarchical density-based clustering of unknown protocol message

Zhiqiang Liu, Bin Wu

Proceedings Volume 12245, International Conference on Cryptography, Network Security, and Communication Technology (CNSCT 2022); 122450K (2022) https://doi.org/10.1117/12.2635962
Event: International Conference on Cryptography, Network Security, and Communication Technology (CNSCT 2022), 2022, Sanya, China

Abstract

In order to achieve efficient identification of unknown protocol message types without a priori knowledge, this paper proposes a hierarchical density-based clustering method for unknown protocol messages. The method effectively combines the characteristics of the hierarchical density clustering algorithm, which reduces the average time complexity while improving the accuracy of the message clustering results. We conduct experiments using public data sets and compares them with other previous methods. The results show that the proposed method can reduce the time spent on clustering while ensuring the quality of the clustering results, which verifies its effectiveness.

Citation Download Citation

Zhiqiang Liu and Bin Wu "Hierarchical density-based clustering of unknown protocol message", Proc. SPIE 12245, International Conference on Cryptography, Network Security, and Communication Technology (CNSCT 2022), 122450K (5 May 2022); https://doi.org/10.1117/12.2635962

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