TPSQLi: Test Prioritization for SQL Injection Vulnerability Detection in Web Applications

The rapid proliferation of network applications has led to a significant increase in network attacks. According to the OWASP Top 10 Projects report released in 2021, injection attacks rank among the top three vulnerabilities in software projects. This growing threat landscape has increased the complexity and workload of software testing, necessitating advanced tools to support agile development cycles. This paper introduces a novel test prioritization method for SQL injection vulnerabilities to enhance testing efficiency. By leveraging previous test outcomes, our method adjusts defense strength vectors for subsequent tests, optimizing the testing workflow and tailoring defense mechanisms to specific software needs. This approach aims to improve the effectiveness and efficiency of vulnerability detection and mitigation through a flexible framework that incorporates dynamic adjustments and considers the temporal aspects of vulnerability exposure.

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Publication Details

Journal
Applied Sciences
Published
2024-09-17
DOI
https://doi.org/10.3390/app14188365
Citations
6
Primary Topic
Web Application Security Vulnerabilities
Type
article
Field-Weighted Citation Impact
4.67

Funders

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article

TPSQLi: Test Prioritization for SQL Injection Vulnerability Detection in Web Applications

Ya-Wen Teng, Kuo‐Hui Yeh, Farn Wang, Guan-Yan Yang et al.
6 citations
Applied Sciences
Web Application Security Vulnerabilities
4.67
article

TPSQLi: Test Prioritization for SQL Injection Vulnerability Detection in Web Applications

Ya-Wen Teng, Kuo‐Hui Yeh, Farn Wang, Guan-Yan Yang, You-Zong Gu, Wei-Ling Wen, Ping-Hsueh Ho
article en
6 citations

Abstract

The rapid proliferation of network applications has led to a significant increase in network attacks. According to the OWASP Top 10 Projects report released in 2021, injection attacks rank among the top three vulnerabilities in software projects. This growing threat landscape has increased the complexity and workload of software testing, necessitating advanced tools to support agile development cycles. This paper introduces a novel test prioritization method for SQL injection vulnerabilities to enhance testing efficiency. By leveraging previous test outcomes, our method adjusts defense strength vectors for subsequent tests, optimizing the testing workflow and tailoring defense mechanisms to specific software needs. This approach aims to improve the effectiveness and efficiency of vulnerability detection and mitigation through a flexible framework that incorporates dynamic adjustments and considers the temporal aspects of vulnerability exposure.

Applied SciencesVol. 14(18)
National Yang Ming Chiao Tung University (TW), National Taiwan University (TW), National Dong Hwa University (TW)
Academia Sinica, Shanghai Educational Development Foundation
Openalex Percentile: Top 5%
Web Application Security Vulnerabilities
4.67
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