Protocol state analysis and annotation methodology based on deep learning

Yuexin Tao; Tianxiang Yu; Yang Xin

doi:10.1117/12.2671732

21 March 2023 Protocol state analysis and annotation methodology based on deep learning

Yuexin Tao, Tianxiang Yu, Yang Xin

Proceedings Volume 12609, International Conference on Computer Application and Information Security (ICCAIS 2022); 1260903 (2023) https://doi.org/10.1117/12.2671732
Event: International Conference on Computer Application and Information Security (ICCAIS 2022), 2022, ONLINE, ONLINE

Abstract

Protocol Reverse Engineering (PRE) is of great significance to the research of cyber security and it is helpful to understand protocol specifications. There has been many researches on PRE but most of them need additional manual analysis, which is not available for private and unknown protocols. We propose a protocol state analysis and annotation method, which extracts the feature information of binary-based protocol data through an auto-encoder model. Moreover, density-based clustering algorithm is only used to distinguish protocol types in existing studies, we propose an improved algorithm and apply it to protocol state analysis. Finally, we apply alignment algorithm to get state information and do annotation. We run simulation to verify the effectiveness of proposed method and prove its feasibility in private and unknown protocols. The results of clustering algorithms are compared to show the improvement. Then the application of proposed method is summarized based on the simulation results, which provides a novel idea for the protocol analysis.

Citation Download Citation

Yuexin Tao, Tianxiang Yu, and Yang Xin "Protocol state analysis and annotation methodology based on deep learning", Proc. SPIE 12609, International Conference on Computer Application and Information Security (ICCAIS 2022), 1260903 (21 March 2023); https://doi.org/10.1117/12.2671732

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