On a Scientific Theory of Digital Forensics

Olivier, Martin S.

doi:10.1007/978-3-319-46279-0_1

Cited by 6 publications

(2 citation statements)

References 8 publications

(6 reference statements)

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“…All of these tools work by detecting the existence, absence, or inconsistency of certain traces intrinsically linked to the digital image by the acquisition equipment and any subsequent activity. Multimedia forensics is a branch of forensic science that explores the application of scientific methods to extract probative facts from physical or digital evidence [7][8][9][10]. The goal of multimedia forensic tools is to disclose the traces left in multimedia information at each stage of its life cycle by leveraging existing digital imaging and multimedia security research knowledge.…”

Section: Related Workmentioning

confidence: 99%

Copy-Move Geometric Tampering Estimation Through Enhanced SIFT Detector Method

Sujin¹,

Sophia²

2023

Computer Systems Science and Engineering

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Digital picture forgery detection has recently become a popular and significant topic in image processing. Due to advancements in image processing and the availability of sophisticated software, picture fabrication may hide evidence and hinder the detection of such criminal cases. The practice of modifying original photographic images to generate a forged image is known as digital image forging. A section of an image is copied and pasted into another part of the same image to hide an item or duplicate particular image elements in copy-move forgery. In order to make the forgeries real and inconspicuous, geometric or postprocessing techniques are frequently performed on tampered regions during the tampering process. In Copy-Move forgery detection, the high similarity between the tampered regions and the source regions has become crucial evidence. The most frequent way for detecting copy-move forgeries is to partition the images into overlapping square blocks and utilize Discrete cosine transform (DCT) components as block representations. Due to the high dimensionality of the feature space, Gaussian Radial basis function (RBF) kernel based Principal component analysis (PCA) is used to minimize the dimensionality of the feature vector representation, which improves feature matching efficiency. In this paper, we propose to use a novel enhanced Scale-invariant feature transform (SIFT) detector method called as RootSIFT, combined with the similarity measures to mark the tampered areas in the image. The proposed method outperforms existing state-of-the-art methods in terms of matching time complexity, detection reliability, and forgery location accuracy, according to the experimental results. The F1 score of the proposed method is 92.3% while the literature methods are around 90% on an average.

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Section: Related Workmentioning

confidence: 99%

Copy-Move Geometric Tampering Estimation Through Enhanced SIFT Detector Method

Sujin¹,

Sophia²

2023

Computer Systems Science and Engineering

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“…The discourse in digital forensics has only seen limited self-reflection about the use of science (or scientific methods) in its activities (Olivier, 2016). While some notable exceptions exist, the few published claims that digital forensics is indeed scientific are often based on a limited understanding of science.…”

Section: The Challenges Of a Digital Forensic Sciencementioning

confidence: 99%

Digital Forensic Science: A Manifesto

Olivier

2016

SACJ

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Forensic examination of evidence holds the promise of making claims about the truth of certain propositions with the inherent accuracy and reliability that characterises scientific endeavours. The propositions may relate to the artefacts examined or related artefacts. The nature of propositions about which claims can be made depend on the extent to which given propositions fall within the ambit of scientific knowledge and on the extent to which the examined evidence is suitable for the application of established science. A continuing series of incidents illustrate that in many forensic disciplines that promise is not met — often because some branch of forensic science happen to not being scientific at all. In fact, serious assessments of forensic science have shown that many (if not most) branches of forensic science are not scientifically valid. Digital forensic science is one of the newest members of the family of forensic sciences. A number of reasons for concern exist that it is following in the footsteps of its more established footsteps and repeating many of the mistakes of those other branches of forensic science. This viewpoint is written in the form of a manifesto that is situated in the current discourse about digital forensic science and practice. If challenges the current developments in digital forensic science by positing a number of demands that digital forensic science have to meet to be deemed scientific. The demands are posited as necessary, but not sufficient to ensure that digital forensic science uses science to contribute to justice. Appropriate responses to the manifesto is a change in digital forensic developments or an informed debate about the issues raised in the manifesto.

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