IDEAS home Printed from https://ideas.repec.org/a/aox/rcfati/v1y2020i1-3p27-41.html
   My bibliography  Save this article

Making the Invisible Visible – Techniques for Recovering Deleted SQLite Data Records

Author

Listed:
  • Dirk Pawlaszczyk

    (Hochschule Mittweida - University of Applied Sciences, Germany)

  • Christian Hummert

    (Central Office for Information Technology in the Security Sector (ZITiS), Germany)

Abstract

Forensic analysis and evidence collection for web browser activity is a recurring problem in digital investigation. It is not unusual for a suspect to cover his traces. Accordingly, the recovery of previously deleted data such as web cookies and browser history are important. Fortunately, many browsers and thousands of apps used the same database system to store their data: SQLite. Reason enough to take a closer look at this product. In this article, we follow the question of how deleted content can be made visible again in an SQLite-database. For this purpose, the technical background of the problem will be examined first. Techniques are presented with which it is possible to carve and recover deleted data records from a database on a binary level. A novel software solution called FQLite is presented that implements the proposed algorithms. The search quality, as well as the performance of the program, is tested using the standard forensic corpus. The results of a performance study are discussed, as well. The article ends with a summary and identifies further research questions.

Suggested Citation

  • Dirk Pawlaszczyk & Christian Hummert, 2020. "Making the Invisible Visible – Techniques for Recovering Deleted SQLite Data Records," International Journal of Cyber Forensics and Advanced Threat Investigations, Concept Tech Publishing, vol. 1(1-3), pages 27-41.
  • Handle: RePEc:aox:rcfati:v:1:y:2020:i:1-3:p:27-41
    DOI: 10.46386/ijcfati.v1i1-3.17
    as

    Download full text from publisher

    File URL: https://conceptechint.net/index.php/CFATI/article/download/17/6
    Download Restriction: no

    File URL: https://conceptechint.net/index.php/CFATI/article/view/17
    Download Restriction: no

    File URL: https://libkey.io/10.46386/ijcfati.v1i1-3.17?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:aox:rcfati:v:1:y:2020:i:1-3:p:27-41. 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: Mira Leonko (email available below). General contact details of provider: https://conceptechint.net/index.php/CFATI .

    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.