A modified anti-forensic technique for removing detectable traces from digital images

Kaimal, Athira B.; Manimurugan, S.; Anitha, J.

doi:10.1109/iccci.2013.6466109

Cited by 3 publications

(6 citation statements)

References 18 publications

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“…Whereas significant features of digital photography is the ease and the decreased cost in altering the image. Manipulation of digital images is simpler [9].In 2014 Peixuan Zhang,"A New Adaptive Weighted Mean Filter for Removing Salt-andPepper Noise", In this paper to detect and remove high level of salt and pepper noise, adaptive weighted mean filter has been proposed. First of all size of the adaptive window is decided to extend the window size until two successive window become equal.…”

Section: Literature Surveymentioning

confidence: 99%

A Survey of Various Image De-noising Techniques

Thakur

Singh

2018

IJERMT

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Section: Literature Surveymentioning

confidence: 99%

A Survey of Various Image De-noising Techniques

Thakur

Singh

2018

IJERMT

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“…• J. Wu et al [110][111][112][113][114][115] discuss anti-forensic techniques for both median filtering (MF) and image compression, some of them using generative adversarial networks (GAN).…”

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“…These methods achieve high image quality and evade forensic detection effectively. Other articles propose approaches based on statistical analysis [112,113] or domain modifications [115,116]. Article [111] presents a simple method by which to classify manipulated images with anti-forensics, while article [112] proposes a forensic method by which to detect previous JPEG compressions and an improved anti-forensic method for denoising.…”

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confidence: 99%

Systematic Review: Anti-Forensic Computer Techniques

González Arias,

Bermejo Higuera,

Rainer Granados

et al. 2024

Applied Sciences

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The main purpose of anti-forensic computer techniques, in the broadest sense, is to hinder the investigation of a computer attack by eliminating traces and preventing the collection of data contained in a computer system. Nowadays, cyber-attacks are becoming more and more frequent and sophisticated, so it is necessary to understand the techniques used by hackers to be able to carry out a correct forensic analysis leading to the identification of the perpetrators. Despite its importance, this is a poorly represented area in the scientific literature. The disparity of the existing works, together with the small number of articles, makes it challenging to find one’s way around the vast world of computer forensics. This article presents a comprehensive review of the existing scientific literature on anti-forensic techniques, mainly DFIR (digital forensics incident response), organizing the studies according to their subject matter and orientation. It also presents key ideas that contribute to the understanding of this field of forensic science and details the shortcomings identified after reviewing the state of the art.

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“…Forensic analysis of these operations also helps detecting forgery. In spite of that, various anti-forensics techniques [12][13][14][15] have been developed to hide the artifacts of forgery. Image forgery can be detected using various phenomena.…”

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confidence: 99%

“…These techniques are somehow based on shortcomings of the forged image creation process. To hide the traces of forgery, some methods have been developed that are called anti-forensic methods [12][13][14][15]. These methods hide the traces by using noise insertion, resampling, median filtering, etc.…”

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Digital Image Forensic: A Brief Review

Chand¹

2017

FRCIJ

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24300 images per minute. In most of the cases, these contents are making life easy in some sense. This digital era is also providing high quality image editing applications/softwares that can make changes in images and videos easily. The motivation of these changes may possibly be used to create some rumor, which can influence political, corporate, legal, and personal issues. This demands forensic analysis of images to prove their originality. Previously, when the source is confirmed, the image integrity can be authenticated using digital signature or digital watermark and it is generally called active forensic analysis. Most of the time, the source of an image is unknown, i.e., only the image itself is available to analyze. This type of forensic analysis is called blind or passive. In current scenario, the techniques based on passive forensic analysis are more relevant. In this review article, we emphasis on passive forensic analysis techniques [1-11] and their challenges.

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A modified anti-forensic technique for removing detectable traces from digital images

Cited by 3 publications

References 18 publications

A Survey of Various Image De-noising Techniques

A Survey of Various Image De-noising Techniques

Systematic Review: Anti-Forensic Computer Techniques

Digital Image Forensic: A Brief Review

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