Analysis on the application of deep neural network model in the improvement of traditional PHP source code auditing tools

Xibiao Ouyang; Baolin Xu; Jin Jiang

doi:10.1117/12.3051651

18 November 2024 Analysis on the application of deep neural network model in the improvement of traditional PHP source code auditing tools

Xibiao Ouyang, Baolin Xu, Jin Jiang

Author Affiliations +

Proceedings Volume 13403, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) ; 134032N (2024) https://doi.org/10.1117/12.3051651
Event: International Conference on Algorithms, High Performance Computing, and Artificial Intelligence, 2024, Zhengzhou, China

Abstract

This study mainly discusses the application of deep neural network model in improving the traditional source code auditing tool of hypertext preprocessor (PHP). Under the traditional static and dynamic conditions, there are still many restrictions on the use of PHP vulnerability mining technology. This study will build a deep neural network model on the basis of improving the traditional PHP source code auditing tools, and take the improved S-ASTNN deep neural network as the starting point to fundamentally improve the PHP vulnerability mining method. This study will use the special structure of PHP abstract syntax tree to adjust it. It is found that the semantic information contained in the improved traditional ASTNN deep neural network can be effectively preserved and the model efficiency is improved. After analyzing the experimental results, it is found that the improved S-ASTNN deep neural network model has higher accuracy and recall rate than the traditional vulnerability mining method, and the improved S-ASTNN deep neural network can play a more significant role in the field of PHP language vulnerability mining.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xibiao Ouyang, Baolin Xu, and Jin Jiang "Analysis on the application of deep neural network model in the improvement of traditional PHP source code auditing tools", Proc. SPIE 13403, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) , 134032N (18 November 2024); https://doi.org/10.1117/12.3051651

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