A detection methodology for SQL injection attacks based on the TF-IDF-CHI algorithm

Runjie Liu; Wenbo Zhang

doi:10.1117/12.3011777

7 December 2023 A detection methodology for SQL injection attacks based on the TF-IDF-CHI algorithm

Runjie Liu, Wenbo Zhang

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129410N (2023) https://doi.org/10.1117/12.3011777
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

SQL injection attacks are pernicious forms of cyber assaults, and the integration of the TF-IDF algorithm into the domain of SQL injection detection has emerged as a prevailing trend. To address the shortcomings of traditional TF-IDF algorithms, which neglect feature distribution and insufficiently extract features, this paper proposes a detection method for SQL injection attacks based on the TF-IDF-CHI algorithm. This algorithm not only remedies the inadequacies of the TF-IDF algorithm in terms of feature distribution but also enhances feature extraction by incorporating category factors and an improved CHI statistical approach. Experimental findings substantiate an approximate 5% increase in precision compared to the traditional TF-IDF algorithm, thus underscoring the superior performance and efficacy of the proposed algorithm in detecting SQL injection attacks.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Runjie Liu and Wenbo Zhang "A detection methodology for SQL injection attacks based on the TF-IDF-CHI algorithm", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129410N (7 December 2023); https://doi.org/10.1117/12.3011777

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