BoostSecurityDB: a new vulnerability scanning tool for online SQL databases

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Authors: Mohamed Elkamel Hamdane, Nabil Messaoudi, Marwa Daoud, Saad Harous
Cited by: 0
References: 4

Abstract

The rapid growth of digital information has exposed critical systems—including military, governmental, financial, and healthcare infrastructures—to escalating cyber threats, particularly database breaches. To address this challenge, we propose BoostSecurityDB, an integrated cybersecurity tool designed to detect and mitigate vulnerabilities that compromise database security. Our contribution is to integrate automated scanning technologies such as SQLMap and RapidScan into a unified process. Experimental evaluations demonstrate the effectiveness of BoostSecurityDB in identifying high-risk vulnerabilities, streamlined remediation workflows, and reducing manual analysis overhead. The results highlight its potential as a scalable solution for safeguarding sensitive data against evolving cyberattacks.

Fields of Study & Subjects

Web Application Security Vulnerabilities Information and Cyber Security Network Security and Intrusion Detection

Publication details

Journal / source
International Journal of Informatics and Applied Mathematics
Volume
8
Issue
2
Pages
53–69
Publication date
15 January 2026