Image and Video Forensics

Amerini, Irene; Baldini, Gianmarco; Leotta, Francesco

doi:10.3390/jimaging7110242

Cited by 2 publications

(1 citation statement)

References 18 publications

(19 reference statements)

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“…However, in areas with highly dynamic digital infrastructure, new media (such as Facebook, Instagram, snapchat twitter and cloud data) and hardware, such solid-state drives, are completely distinct from traditional media and devices. The tool or technique that worked well on one type of hard drive may not work at all well on another model [30][31][32]. Additionally, the investigative work done in digital forensics is incredibly dependent on the tools needed and required to interpret binary data.…”

Section: Erroneousmentioning

confidence: 99%

Current Issues and Challenges with Scientific Validation of Digital Evidence

Raza¹,

Anwar²,

Khan³

2022

RCES

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Computer forensics is an important part of any cybercrime investigation because it allows law enforcement to collect and examine data that can be used to prove a cybercrime. Despite the occasionally justified use of proof, it is frequently met with skepticism and ambiguity in the courts. There is currently a moratorium on the use of untested forensic method in courtroom court cases, it is still difficult to consistently prove the proof obtained through this method. Because of the nature of electronic records and the privacy restrictions that surround them, it is no longer possible to rely solely on the information gathered through this process. The purpose of this article is to discuss current challenges and issues in the field of computer forensics that are impeding scientific validation of digital forensics.

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Section: Erroneousmentioning

confidence: 99%

Current Issues and Challenges with Scientific Validation of Digital Evidence

Raza¹,

Anwar²,

Khan³

2022

RCES

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A Comprehensive Survey on Methods for Image Integrity

Capasso,

Cattaneo,

De Marsico

2023

ACM Trans. Multimedia Comput. Commun. Appl.

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The outbreak of digital devices on the Internet, the exponential diffusion of data (images, video, audio, and text), along with their manipulation/generation also by Artificial Intelligence (AI) models, e.g., Generative Adversarial Networks (GANs), have created a great deal of concern in the field of forensics. A malicious use can affect relevant application domains, which often include counterfeiting biomedical images, and deceiving biometric authentication systems, as well as their use in scientific publications, in the political world, and even in school activities. It has been demonstrated that manipulated pictures most likely represent indications of malicious behavior, such as photos of minors to promote child prostitution or false political statements. Following this widespread behavior, various forensic techniques have been proposed in the scientific literature over time both to defeat these spoofing attacks as well as to guarantee the integrity of the information. Focusing on Image Forensics, which is currently a very hot topic area in Multimedia Forensics, this paper will discuss the whole scenario in which a target image could be modified. The aim of this comprehensive survey will be 1) to provide an overview of the types of attacks and contrasting techniques and 2) to evaluate to what extent the former can deceive prevention methods and the latter can identify counterfeit images. The results of this study highlight how forgery detection techniques, sometimes limited to a single type of real scenario, are not able to provide exhaustive countermeasures and could/should therefore be combined. Currently, the use of neural networks, such as CNNs, is already heading, synergistically, in this direction.

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Image and Video Forensics

Abstract: Nowadays, images and videos have become the main modalities of information being exchanged in everyday life, and their pervasiveness has led the image forensics community to question their reliability, integrity, confidentiality, and security more and more [...]

Cited by 2 publications

References 18 publications

Current Issues and Challenges with Scientific Validation of Digital Evidence

Current Issues and Challenges with Scientific Validation of Digital Evidence

A Comprehensive Survey on Methods for Image Integrity

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