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Understanding digital image anti-forensics: an analytical review
Image forensics is essential for detecting image manipulation, authenticating images, and identifying sources of images. A forensic analyst can make...
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Efficient usage of web forensics, disk forensics and email forensics in successful investigation of cyber crime
This paper is a fusion of a survey of different existing research related to web forensics, disk forensics, and email forensics and the...
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Image operator forensics and sequence estimation using robust deep neural network
Digital images can be manipulated with recent tools. Image forensics examines the image from several angles to spot any anomalies. Most techniques...
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Copy–move forgery detection in digital image forensics: A survey
The detection of copy-move forgeries has been of utmost relevance in the field of digital image forensics because of the explosive growth of image...
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Domain Specific Information Based Learning for Facial Image Forensics
Multimedia forensics involves the use of scientific methods for analyzing the contents such as audio, video, and digital images. Digital image...
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Efficacy of Residual Methods for Passive Image Forensics Using Four Filtered Residue CNN
Digital images can be manipulated easily due to the availability of various editing tools. These editing tools are employed to preserve the original...
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Inversion Image Pairs for Anti-forensics in the Frequency Domain
Recent studies have demonstrated that generative models, such as Generative Adversarial Networks (GANs), leave discernible traces in their results....
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A transformer–CNN for deep image inpainting forensics
As an advanced image editing technology, image inpainting leaves very weak traces in the tampered image, causing serious security issues,...
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Enhancing Reliability During Physical Memory Forensics: Strategies and Practices
Over the past decade, forensic investigators have incorporated memory forensics as a critical part of their investigation. Memory forensics yield...
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Robust median filtering forensics using texture feature and deep fully connected network
Image forensics researchers have recently focused a lot of attention on detection of median filtering that is used to hide evidence of image forgery...
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Opposing agents evolve the research: a decade of digital forensics
This study aims to address the growing cyber threats and the spread of digital misinformation, particularly intensified by digital transformation...
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A comprehensive analysis of digital video forensics techniques and challenges
The massive dependence on digital interaction via multimedia tools like audio, images, and videos is leading to an era that will be digitized in...
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IPM-Model: AI and metaheuristic-enabled face recognition using image partial matching for multimedia forensics investigation with genetic algorithm
The rapid enhancement in the development of information technology has driven the development of human facial image recognition. Recently, facial...
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A Contrario Mosaic Analysis for Image Forensics
With the advent of recent technologies, image editing has become accessible even without expertise. However, this ease of manipulation has given rise...
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Robust Anti-forensics on Audio Forensics System
Audio forensics systems are effective evidence to prove whether audio is real or not. Recently, there have been studies on anti-forensics technology...
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Adversarial Examples in Image Forensics
We describe the threats posed by adversarial examples in an image forensic context, highlighting the differences and similarities with respect to...
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Passive image forensics using universal techniques: a review
Digital tamper detection is a substantial research area of image analysis that identifies the manipulation in the image. This domain has matured with...
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Adversarial Multimedia Forensics
This book explores various aspects of digital forensics, security and machine learning, while offering valuable insights into the ever-evolving...
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An Insightful Analysis of Digital Forensics Effects on Networks and Multimedia Applications
Humans have benefited greatly from technology, which has helped to raise standards of living and make important discoveries. But there are a lot of...
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An MSDCNN-LSTM framework for video frame deletion forensics
Frame deletion detection is a challenging task in the field of digital video forensics. This paper proposes a deep-learning-based frame deletion...
