Developing a Cloud Computing Based Approach for Forensic Analysis using OCR

被引：1

作者：

Trojahn, Matthias ^{[1
]}

Pan, Lei ^{[2
]}

Schmidt, Fabian ^{[3
]}

机构：

[1] Volkswagen AG, Wolfsburg, Germany

[2] Deakin Univ, Sch IT, Melbourne, Vic, Australia

[3] ISC Gebhardt, Celle, Germany

来源：

2013 SEVENTH INTERNATIONAL CONFERENCE ON IT SECURITY INCIDENT MANAGEMENT AND IT FORENSICS (IMF 2013) | 2013年

关键词：

Cloud Computing; OCR; Digital Forensic Investigation; Markov Model; MODEL;

D O I：

10.1109/IMF.2013.11

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：59 / 68

页数：10

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