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
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;
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
DOI :
10.1109/IMF.2013.11