Approaches for Forgery Detection of Documents in Digital Forensics: A Review

Amjed, Alaa; Mahmood, Basim; Almukhtar, Khalid A. K.

doi:10.1007/978-3-030-97255-4_25

Cited by 4 publications

(7 citation statements)

References 41 publications

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“…In four stages, spatial forging may be accomplished based on the video sequence’s boundary/regional characteristics (Short level, Scene level, Block level, and Pixel Level) [ 15 ]. First, a forger can modify pixel bits inside the video frame to attack the source of the films geographically, where frames are modified partly.…”

Section: Video Tampering Typesmentioning

confidence: 99%

“…Temporal forgery may be accomplished on a frame sequence in three stages (Short level, Scene level, and Frame level) based on the regional/boundary property of the video sequence, where more frames can be added, certain frames can be deleted, and the order of frames can be changed to execute forging [ 15 ]. These assaults primarily wreak havoc on the temporal sequence of visual data acquired by video recording equipment, as seen in Fig.…”

Section: Video Tampering Typesmentioning

confidence: 99%

“…The temporal sequence of visual material acquired by video capturing equipment is most affected by this manipulation. The following are the several forms of inter-frame forgeries [ 15 , 144 , 166 , 168 , 170 , 176 , 179 , 203 ]: Frame Insertion: frames from other videos or the same video are purposely put at random points in the frame insertion forgeries for any criminal behavior proof. This assault’s main purpose is to conceal the original content and distribute fake information.…”

Section: Video Tampering Typesmentioning

confidence: 99%

“…However, the consequences vary depending on the situation and the location where it is utilized. The following are some of the areas where video forgery has an impact [ 15 , 179 ]: Video surveillance …”

Section: Video Forensics Overviewmentioning

confidence: 99%

“…However, criminals can modify the visual content of surveillance system videos locally or remotely, making them vulnerable. Malicious modifications to video material include inter-frame and intra-frame forgeries (known as video forgeries) [ 15 ]. As a result, video file authentication is becoming increasingly relevant, particularly in surveillance applications such as (bank ATM Videos, the medical field, and legal problems).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A comprehensive taxonomy on multimedia video forgery detection techniques: challenges and novel trends

El-Shafai,

Fouda,

El-Rabaie

et al. 2023

Multimed Tools Appl

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Thousands of videos are posted on websites and social media every day, including Twitter, Facebook, WhatsApp, Instagram, and YouTube. Newspapers, law enforcement publications, criminal investigations, surveillance systems, Banking, the museum, the military, imaging in medicine, insurance claims, and consumer photography are just a few examples of places where important visual data may be obtained. Thus, the emergence of powerful processing tools that can be easily made available online poses a huge threat to the authenticity of videos. Therefore, it’s vital to distinguish between true and fake data. Digital video forgery detection techniques are used to validate and check the realness of digital video content. Deep learning algorithms lately sparked a lot of interest in the field of digital forensics, such as Recurrent Neural Networks (RNN), Deep Convolutional Neural Networks (DCNN), and Adaptive Neural Networks (ANN). In this paper, we give a soft taxonomy as well as a thorough overview of recent research on multimedia falsification detection systems. First, the basic knowledge needed to comprehend video forgery is provided. Then, a summary of active and passive video manipulation detection approaches is provided. Anti-forensics, compression video methods, datasets required for video forensics, and challenges of video detection approaches are also addressed. Following that, we presented an overview of deepfake, and the datasets required for detection were also provided. Also, helpful software packages and forensics tools for video detection are covered. In addition, this paper provides an overview of video analysis tools that are used in video forensic applications. Finally, we highlight research difficulties as well as interesting research avenues. In short, this survey provides detailed information and a broader investigation to extract data and detect fraud video contents under one umbrella.

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Section: Video Tampering Typesmentioning

confidence: 99%

Section: Video Tampering Typesmentioning

confidence: 99%

Section: Video Tampering Typesmentioning

confidence: 99%

Section: Video Forensics Overviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A comprehensive taxonomy on multimedia video forgery detection techniques: challenges and novel trends

El-Shafai,

Fouda,

El-Rabaie

et al. 2023

Multimed Tools Appl

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Forensic intelligence: Expanding the potential of forensic document examination

Devlin,

Morelato,

Baechler

2024

WIREs Forensic Science

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Forensic document examination is characterized by its longevity, diversity, and evolution over time. Predominantly, published research within this field has focused on handwriting examination, the articulation of forensic conclusions, and the development of technical instrumental advancements, focusing on the use of document examination in the resolution of casework. This is a persistent and common problem within forensic science that Kirk identified in 1963 and that other authors have reaffirmed more recently. Ultimately, this has resulted in the potential of forensic intelligence, remaining relatively underexplored in the field of document examination. Forensic intelligence is a different way to view and analyze traces, shifting the focus from the traditional identification of source and activity, to instead identifying trends in criminal activity to assist in the reduction, prevention, and proactive disruption of crime. Despite a distinct disparity between these strands of research, there has been a persevering evolution toward the implementation of a systematic forensic intelligence method for the examination of fraudulent identity documents. Since its initial inception into the research community, this method has expanded and been implemented across Europe, and Canada, with tests also being conducted in Australia. These first tangible steps toward a forensic intelligence capacity within document examination have also inspired new work using forensic intelligence and systematic comparisons within the field of handwriting examination, as well as the recognition of the transversal potential of this method, with it being applied to both physical and digital documents. In this review, the fields of document examination and forensic intelligence will first be introduced, along with a subsequent examination of the research that has led to the creation of a forensic intelligence model within the field of document examination. It should be noted that this review has largely been limited to a review of research that has been published in English and French due to the language of the authors.This article is categorized under: Crime Scene Investigation > From Traces to Intelligence and Evidence Forensic Chemistry and Trace Evidence > Emerging Technologies and Methods Crime Scene Investigation > Epistemology and Method

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Digital Face Forgery and the Role of Digital Forensics

Tampubolon

2023

Int J Semiot Law

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Approaches for Forgery Detection of Documents in Digital Forensics: A Review

Cited by 4 publications

References 41 publications

A comprehensive taxonomy on multimedia video forgery detection techniques: challenges and novel trends

A comprehensive taxonomy on multimedia video forgery detection techniques: challenges and novel trends

Forensic intelligence: Expanding the potential of forensic document examination

Digital Face Forgery and the Role of Digital Forensics

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