Machine learning in digital forensics: a systematic literature review

T Nayerifard, H Amintoosi, AG Bafghi… - arXiv preprint arXiv …, 2023 - arxiv.org
Development and exploitation of technology have led to the further expansion and
complexity of digital crimes. On the other hand, the growing volume of data and …

Copy move forgery detection and segmentation using improved mask region-based convolution network (RCNN)

T Nazir, M Nawaz, M Masood, A Javed - Applied Soft Computing, 2022 - Elsevier
Copy-move forgery (CMF) is a common image manipulation approach that uses the
information from the same sample to manipulate it with the intent of hiding the required …

An efficient copy move forgery detection using adaptive watershed segmentation with AGSO and hybrid feature extraction

S Tinnathi, G Sudhavani - Journal of Visual Communication and Image …, 2021 - Elsevier
Copy-move forgery detection (CMFD) is the process of determining the presence of copied
areas in an image. CMFD approaches are mainly classified into two groups: keypoint-based …

Low dimensional DCT and DWT feature based model for detection of image splicing and copy-move forgery

SP Jaiprakash, MB Desai, CS Prakash… - Multimedia Tools and …, 2020 - Springer
Digital images are being used as a prominent carrier of visual information in this age of
digitization. Images become more and more omnipresent in everyday life. The images can …

Image splicing forgery detection techniques: A review

KB Meena, V Tyagi - Advances in Computing and Data Sciences: 5th …, 2021 - Springer
The authenticity of digital images is openly challenged today due to the easy availability of
various advanced image editing software. The semantic meaning of an image can be …

Efficient image splicing detection algorithm based on markov features

NT Pham, JW Lee, GR Kwon, CS Park - Multimedia Tools and …, 2019 - Springer
Image splicing is one of the most common methods for digital image tampering. In this
paper, an efficient Markov features based algorithm is proposed for image splicing detection …

A passive approach for the detection of splicing forgery in digital images

N Kaur, N Jindal, K Singh - Multimedia Tools and Applications, 2020 - Springer
With the technology progress, a plethora of freely accessible software has questioned the
authenticity of digital images. This field is continuously creating challenges for researchers …

Deep learning on digital image splicing detection using CFA artifacts

NY Hussien, RO Mahmoud, HH Zayed - International Journal of …, 2020 - igi-global.com
Digital image forgery is a serious problem of an increasing attention from the research
society. Image splicing is a well-known type of digital image forgery in which the forged …

Adaptive partitioning‐based copy‐move image forgery detection using optimal enabled deep neuro‐fuzzy network

G Mariappan, AR Satish, PVB Reddy… - Computational …, 2022 - Wiley Online Library
The emergence of photo editing applications, like Adobe Photoshop, has manipulated the
operation of digital images into a simple task. However, these manipulations of images …

Machine learning based image forgery detection using natural scene statistics

MU Rehman, IF Nizami, A Ahsan… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
A copy-move image forgery is the most common type of image tampering. It can be done by
copying a part of an image and paste on another part of the same image. Therefore, it can …