Undetectable image tampering through JPEG compression anti-forensics

Stamm, Matthew C.; Tjoa, Steven K.; Lin, W. Sabrina; Liu, K. J. Ray

doi:10.1109/icip.2010.5652553

Cited by 76 publications

(57 citation statements)

References 9 publications

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“…For a given image, the detector re-compresses it using different quality factors q, as a function of which, TV(q) is computed. Lai and Bohme [27] proposed another calibration-based detector to counter Stamm et al's JPEG anti-forensic method [17,18]. They borrowed the idea of calibration from steganalysis [2].…”

Section: Jpeg Compression Counter Anti-forensicsmentioning

confidence: 99%

“…The first attempts to make JPEG footprints forensically undetectable on the basis of DCT artifacts are the techniques introduced by stamm et al in their papers in [17,18]. In the first paper, quantisation gaps in the DCT histogram are reduced by spreading the coefficients with an additive noise called anti-forensic dither.…”

Section: Jpeg Compression Anti-forensicsmentioning

confidence: 99%

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Forensics, Anti-forensics and Counter Anti-forensics for JPEG Compressed Images

2016

IJCCIE

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Abstract---With the advancement in information technology and image processing software the manipulation of the images has increased considerably from past few decades. Retouching or tampering of the images has been so prevalent that nowadays one can hardly believe their originality. Image authenticity is done using forgery detection techniques. These methods are broadly classified as active and passive. Aim of this paper is to give state of art for a passive detection technique i.e. JPEG double compression. Its forensics, anti-forensics and counter anti-forensics is presented with a review of technologies that exist so far.

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Section: Jpeg Compression Counter Anti-forensicsmentioning

confidence: 99%

Section: Jpeg Compression Anti-forensicsmentioning

confidence: 99%

Forensics, Anti-forensics and Counter Anti-forensics for JPEG Compressed Images

2016

IJCCIE

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“…A second study [42] addresses the counterfeiting pattern noise attack [87]. In this case, plausible scenarios are studied, assuming that for the burglar to synthesize some specific camera pattern noise, he/she should have access at least to some images that are also accessible to the investigator.…”

Section: Countering Counter-forensicsmentioning

confidence: 99%

“…blockiness. For this reason, technique [87] cleans blocking artifacts by applying first a median filter and then adding low-power white noise to the image. It is shown that this operation outperforms existing de-blocking techniques when coupled to method [86] for compression hiding.…”

Section: Image Source Counterfeitingmentioning

confidence: 99%

“…On the other hand, no verification has been made using distinct exemplars of the same camera model. A different method for counterfeiting image source fingerprints is proposed in [87], and is based on the manipulation of JPEG artifacts. The authors present a technique complimentary to [86] for the suppression of traces of compression and then re-forge the image by compressing it with a different quantization table, e.g.…”

Section: Image Source Counterfeitingmentioning

confidence: 99%

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Digital image forensics: a booklet for beginners

Redi

Taktak

Dugelay

2010

Multimed Tools Appl

307

115

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Digital visual media represent nowadays one of the principal means for communication. Lately, the reliability of digital visual information has been questioned, due to the ease in counterfeiting both its origin and content. Digital image forensics is a brand new research field which aims at validating the authenticity of images by recovering information about their history. Two main problems are addressed: the identification of the imaging device that captured the image, and the detection of traces of forgeries. Nowadays, thanks to the promising results attained by early studies and to the always growing number of applications, digital image forensics represents an appealing investigation domain for many researchers. This survey is designed for scholars and IT professionals approaching this field, reviewing existing tools and providing a view on the past, the present and the future of digital image forensics.

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Counter-Forensics: Attacking Image Forensics

Böhme

Kirchner

2012

Digital Image Forensics

118

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This chapter discusses counter-forensics, the art and science of impeding or misleading forensic analyses of digital images. Research on counter-forensics is motivated by the need to assess and improve the reliability of forensic methods in situations where intelligent adversaries make efforts to induce a certain outcome of forensic analyses. Counter-forensics is first defined in a formal decision-theoretic framework. This framework is then interpreted and extended to encompass the requirements to forensic analyses in practice, including a discussion of the notion of authenticity in the presence of legitimate processing, and the role of image models with regard to the epistemic underpinning of the forensic decision problem. A terminology is developed that distinguishes security from robustness properties, integrated from post-processing attacks, and targeted from universal attacks. This terminology is directly applied in a self-contained technical survey of counter-forensics against image forensics, notably techniques that suppress traces of image processing and techniques that synthesize traces of authenticity, including examples and brief evaluations. A discussion of relations to other domains of multimedia security and an overview of open research questions concludes the chapter.

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Undetectable image tampering through JPEG compression anti-forensics

Cited by 76 publications

References 9 publications

Forensics, Anti-forensics and Counter Anti-forensics for JPEG Compressed Images

Forensics, Anti-forensics and Counter Anti-forensics for JPEG Compressed Images

Digital image forensics: a booklet for beginners

Counter-Forensics: Attacking Image Forensics

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