Database Security and Performance: A Case of SQL Injection Attacks Using Docker-Based Virtualisation and Its Effect on Performance

Ade Dotun Ajasa (), Hassan Chizari () and Abu Alam
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Ade Dotun Ajasa: School of Computing & Engineering, University of Gloucestershire, The Park, Cheltenham GL50 2RH, UK
Hassan Chizari: School of Computing & Engineering, University of Gloucestershire, The Park, Cheltenham GL50 2RH, UK
Abu Alam: School of Computing & Engineering, University of Gloucestershire, The Park, Cheltenham GL50 2RH, UK

Future Internet, 2025, vol. 17, issue 4, 1-23

Abstract: Modern database systems are critical for storing sensitive information but are increasingly targeted by cyber threats, including SQL injection (SQLi) attacks. This research proposes a robust security framework leveraging Docker-based virtualisation to enhance database security and mitigate the impact of SQLi attacks. A controlled experimental methodology evaluated the framework’s effectiveness using Damn Vulnerable Web Application (DVWA) and Acunetix databases. The findings reveal that Docker significantly reduces the vulnerability to SQLi attacks by isolating database instances, thereby safeguarding user data and system integrity. While Docker introduces a significant increase in CPU utilisation during high-traffic scenarios, the trade-off ensures enhanced security and reliability for real-world applications. This study highlights Docker’s potential as a practical solution for addressing evolving database security challenges in distributed and cloud environments.

Keywords: security; performance; virtualisation; databases (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2025
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