IDEAS home Printed from https://ideas.repec.org/a/ids/ijiscm/v9y2017i1p44-69.html
   My bibliography  Save this article

Securing web applications from SQLIA using progressive detector

Author

Listed:
  • N. Gunaseeli
  • D. Jeya Mala

Abstract

Web applications are distributed applications that are stored on a server and delivered to users over the internet. Many people enjoy its utilisation due its benefits such as global access, cost saving, faster delivery of products and opportunities to manage the business from anywhere in the world. The users of web applications expect that the web applications should be secure and reliable, while doing their online transactions. But, modern web applications face threats like cross-site scripting, cookie poisoning, buffer overflow etc. Among the attacks of web applications, SQLIA is one of the most significant of such threats. SQL injection attack is a type of injection attack (SQLIA), in which SQL commands are injected as data-plane input in order to affect the execution of predefined SQL commands. SQL injection is a code injection technique that exploits the security vulnerability occurring in the database layer of an application. It allows attackers to get unauthorised access to the back-end database consisting of confidential user information. The paper presents a novel approach and it prevents all types of SQLIAs with minimum time frame. The proposed system aims at preventing all types of SQLIA by quick identification of malicious query at run time. This novel approach has been framed with the progressive detector (PD) tool and carried out on real time web applications. The experimental results clearly show that the Progressive Detector prevents all kinds of SQLIAs with minimum time frames.

Suggested Citation

  • N. Gunaseeli & D. Jeya Mala, 2017. "Securing web applications from SQLIA using progressive detector," International Journal of Information Systems and Change Management, Inderscience Enterprises Ltd, vol. 9(1), pages 44-69.
  • Handle: RePEc:ids:ijiscm:v:9:y:2017:i:1:p:44-69
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=86227
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:ids:ijiscm:v:9:y:2017:i:1:p:44-69. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=79 .

    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.