Deakin home > Deakin University Library > Deakin Research Online > Image source detection : a case study on Facebook images taken by iPhones

Image source detection : a case study on Facebook images taken by iPhones

Pan, Lei and Trepanic, Nijaz 2011, Image source detection : a case study on Facebook images taken by iPhones, in ATIS 2011 : Workshop proceedingof ATIS 2011. Melbourne, November 9th, 2011. Second Applications and Techniques in Information Security Workshop, Deakin University School of Information Systems, Australia, pp. 39-46.

Document type: Conference Paper
Collection: School of Information Technology
Attached Files (Some files may be inaccessible until you login with your Deakin Research Online credentials)
Name Description MIMEType Size Downloads

Title Image source detection : a case study on Facebook images taken by iPhones
Author(s) Pan, Lei
Trepanic, Nijaz
Conference name Applications and Techniques in Information Security Workshop (2nd : 2011 : Melbourne, Vic.)
Conference location Melbourne, Vic.
Conference dates 9 Nov. 2011
Title of proceedings ATIS 2011 : Workshop proceedingof ATIS 2011. Melbourne, November 9th, 2011. Second Applications and Techniques in Information Security Workshop
Editor(s) Warren, Matthew
Publication date 2011
Conference series Applications and Techniques in Information Security Workshop
Start page 39
End page 46
Total pages 8
Publisher Deakin University School of Information Systems
Place of publication Australia
Summary Forged and tempered digital images become increasingly common on Facebook to aid computer frauds. The situation is worsened as many users can use a phone to take a photo and upload it to Facebook within two clicks, which highlights the need of image forensics for the cyber fraud cases. In this paper, we show the existence of the Facebook image filter which automatically changes the Facebook photos and consequently challenges the validity of forensic results. We aim to enable forensic investigators to relate a seized camera and a Facebook image. Specifically, we utilize intrinsic sensor pattern noise produced by a camera's lens to derive forensically useful information as Photo Response Non-Uniformity (PRNU) patterns. We propose to compare the PRNU patterns of a Facebook image and the flat field images produced by the candidate cameras. And we conclude this method to be effective by successfully identifying the correct iPhone from a list of four for a given Face book image.
ISBN 9780987229809
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
HERDC collection year 2011
Copyright notice ©2011, Deakin University
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044807
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in Deakin Research Online is owned by the author, with all rights reserved.
Versions
Version Filter Type
Access Statistics: 72 Abstract Views, 6 File Downloads  -  Detailed Statistics
Created: Tue, 01 May 2012, 10:59:22 EST