IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v17y2025i4p156-d1626304.html
   My bibliography  Save this article

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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Ade Dotun Ajasa & Hassan Chizari & Abu Alam, 2025. "Database Security and Performance: A Case of SQL Injection Attacks Using Docker-Based Virtualisation and Its Effect on Performance," Future Internet, MDPI, vol. 17(4), pages 1-23, April.
    • Handle: RePEc:gam:jftint:v:17:y:2025:i:4:p:156-:d:1626304
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/17/4/156/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1999-5903/17/4/156/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jftint:v:17:y:2025:i:4:p:156-:d:1626304. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.