DocumentCode
1776236
Title
An automated forensic tool for image metadata and Windows 7 Recycle Bin
Author
Mehrotra, Tarun ; Mehtre, B.M.
Author_Institution
Inst. for Dev. & Res. in Banking Technol., Univ. of Hyderabad, Hyderabad, India
fYear
2014
fDate
10-11 July 2014
Firstpage
419
Lastpage
425
Abstract
Different tools are used to aid the investigation process. Many commercial and open source forensic tools are available but most of them have little way of shaping data in way meaningful to investigator. In this paper we have proposed a python based tool which will have two separate functionalities. One of the functionality which we are calling as PhotoLocator will automate the complete process of image metadata analysis, extracting coordinates information from metadata and locating the image geographically using Google Earth & KML (Keyhole markup language). It will also be capable of locating multiple images simultaneously along with thumbnail of images on Google Earth for which sample results are presented. Other functionality will provide forensics for Windows 7 Recycle Bin. Analysis of deleted files often provides useful information for the forensic computer examiner. To know where to find the deleted files, and how to understand the metadata associated with the file´s deletion, make up the backbone of a successful forensic computer examination. This functionality will provide a CSV file of all the files and related metadata for each user recycle bin.
Keywords
digital forensics; geographic information systems; meta data; public domain software; visual databases; CSV file; Google Earth; KML; PhotoLocator; Windows 7 recycle bin; automated forensic tool; commercial forensic tools; image meta data; keyhole markup language; open source forensic tools; Data mining; Earth; Forensics; Global Positioning System; Google; Instruments; Recycling; Digital Forensics; GPS; GeoTagging; Google Earth; Image Forensics; KML; Windows Recycle Bin;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014 International Conference on
Conference_Location
Kanyakumari
Print_ISBN
978-1-4799-4191-9
Type
conf
DOI
10.1109/ICCICCT.2014.6992998
Filename
6992998
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