• DocumentCode
    624951
  • Title

    Developing a Cloud Computing Based Approach for Forensic Analysis Using OCR

  • Author

    Trojahn, M. ; Lei Pan ; Schmidt, F.

  • Author_Institution
    Volkswagen AG, Wolfsburg, Germany
  • fYear
    2013
  • fDate
    12-14 March 2013
  • Firstpage
    59
  • Lastpage
    68
  • Abstract
    One of the major issues in digital forensics is that cyber criminals tend to hide digital evidence before forensic tools are applied to find them. A simple but effective method to evade detection is to embed textual information in a picture such as a screenshot. On the detective´s side, we can use Optical Character Recognition (OCR) algorithms to retrieve the textual information from a picture or from a PDF document. However, the main challenges of the current solutions on standalone computers include scalability and performance. In this paper, we present a cloud-based framework which consists of a set of virtual machines and a job management system. We also show the mathematical derivation of our system configurations.
  • Keywords
    cloud computing; computer crime; digital forensics; image retrieval; optical character recognition; text analysis; virtual machines; OCR algorithms; PDF document; cloud computing based approach; cloud-based framework; cyber criminals; digital evidence hiding; digital forensic tools; forensic analysis; job management system; mathematical derivation; optical character recognition algorithm; scalability; screenshot; system configurations; textual information retrieval; virtual machines; Cloud computing; Computers; Forensics; Optical character recognition software; Portable document format; Servers; Virtual machining; Cloud Computing; Digital Forensic Investigation; Markov Model; OCR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IT Security Incident Management and IT Forensics (IMF), 2013 Seventh International Conference on
  • Conference_Location
    Nuremberg
  • Print_ISBN
    978-1-4673-6307-5
  • Type

    conf

  • DOI
    10.1109/IMF.2013.11
  • Filename
    6568554