Randomized SQL Statement Detection Based on SQL Parser

SQL injection attack (SQLIA) is one of the major security threats faced by Web applications. The SQL randomization method based on instruction set randomization can be used to detect and defend against SQL injection attacks. This paper analyzes the security issues present in traditional SQL randomization methods when detecting SQL injection attacks and proposes a randomized SQL statement detection method based on SQL parser. Experimental results demonstrate that this method effectively defends against SQL injection attacks, with the optimal implementation achieving a performance loss of only 5.73 %.

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Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1109/icccs65393.2025.11069761
Primary Topic
Web Application Security Vulnerabilities
Type
article
Field-Weighted Citation Impact
0.00
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article

Randomized SQL Statement Detection Based on SQL Parser

Jiaxin Ma, Zheng Zhang, Yuan Yao, Wendy Zhou
Web Application Security Vulnerabilities
article

Randomized SQL Statement Detection Based on SQL Parser

Jiaxin Ma, Zheng Zhang, Yuan Yao, Wendy Zhou
article en

Abstract

SQL injection attack (SQLIA) is one of the major security threats faced by Web applications. The SQL randomization method based on instruction set randomization can be used to detect and defend against SQL injection attacks. This paper analyzes the security issues present in traditional SQL randomization methods when detecting SQL injection attacks and proposes a randomized SQL statement detection method based on SQL parser. Experimental results demonstrate that this method effectively defends against SQL injection attacks, with the optimal implementation achieving a performance loss of only 5.73 %.

PLA Information Engineering University (CN), Purple Mountain Laboratories (CN)
Openalex Percentile: Top 75%
Web Application Security Vulnerabilities
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