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Conference proceeding
Forensically Determining the Order of Signal Processing Operations
PROCEEDINGS OF THE 2013 IEEE INTERNATIONAL WORKSHOP ON INFORMATION FORENSICS AND SECURITY (WIFS'13), pp 162-167
01 Jan 2013
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Currently, many forensic techniques have been developed to determine which processing operations were used to manipulate a multimedia signal. Determining the order in which these operations were applied, however, remains an open challenge. Understanding this order is important because it not only provides greater insight into a signal's processing history, but it can also be used to determine a forger's behavior patterns or provide insight into who manipulated a signal. In this paper, we propose a new forensic detection framework that can be used determine the order in which manipulations were applied to a signal. Additionally, we introduce the notion of a conditional fingerprint to describe how a manipulation's fingerprints can change under subsequent processing. We identify the conditional fingerprints of contrast enhancement followed by resizing, and use our framework to develop an algorithm to determine the order in which resizing and contrast enhancement were applied to an image.
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Details
- Title
- Forensically Determining the Order of Signal Processing Operations
- Creators
- Matthew C. Stamm - Drexel UniversityXiaoyu Chu - University of Maryland, College ParkK. J. Ray Liu - University of Maryland, College ParkIEEE
- Publication Details
- PROCEEDINGS OF THE 2013 IEEE INTERNATIONAL WORKSHOP ON INFORMATION FORENSICS AND SECURITY (WIFS'13), pp 162-167
- Series
- IEEE International Workshop on Information Forensics and Security
- Publisher
- IEEE
- Number of pages
- 6
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000346136700028
- Scopus ID
- 2-s2.0-84894121414
- Other Identifier
- 991019170327104721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Theory & Methods
- Engineering, Electrical & Electronic