A novel method for detecting double compressed Facebook JPEG images

Allan,NG, Pan,L and Xiang,Y 2014, A novel method for detecting double compressed Facebook JPEG imagesApplications and Techniques in Information Security, Springer Verlag, Dordrecht , Germany, pp.191-198, doi: 10.1007/978-3-662-45670-5.

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Title A novel method for detecting double compressed Facebook JPEG images
Author(s) Allan,NG
Pan,LORCID iD for Pan,L orcid.org/0000-0002-4691-8330
Xiang,YORCID iD for Xiang,Y orcid.org/0000-0001-5252-0831
Title of book Applications and Techniques in Information Security
Publication date 2014
Series Communications in computer and information science ; 490
Chapter number 18
Total chapters 24
Start page 191
End page 198
Total pages 8
Publisher Springer Verlag
Place of Publication Dordrecht , Germany
Summary Images published on online social sites such as Facebook are increasingly prone to be misused for malicious purposes. However, existing image forensic research assumes that the investigator can confiscate every piece of evidence and hence overlooks the fact that the original image is difficult to obtain. Because Facebook applies a Discrete Cosine Transform (DCT)-based compression on uploaded images, we are able to detect the modified images which are re-uploaded to Facebook. Specifically, we propose a novel method to effectively detect the presence of double compression via the spatial domain of the image: We select small image patches from a given image, define a distance metric to measure the differences between compressed images, and propose an algorithm to infer whether the given image is double compressed without referring to the original image. To demonstrate the correctness of our algorithm, we correctly predict the number of compressions being applied to a Facebook image.
ISBN 9783662456705
ISSN 1865-0929
Language eng
DOI 10.1007/978-3-662-45670-5
Field of Research 080503 Networking and Communications
Socio Economic Objective 890202 Application Tools and System Utilities
HERDC Research category B1 Book chapter
ERA Research output type B Book chapter
Copyright notice ©2014, Springer Verlag
Persistent URL http://hdl.handle.net/10536/DRO/DU:30070740

Document type: Book Chapter
Collection: School of Information Technology
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