Security in smart cities: A brief review of digital forensic schemes for biometric data

A Ross, S Banerjee, A Chowdhury - Pattern Recognition Letters, 2020 - Elsevier
A smart city is engineered to be a self-sustained ecosystem driven by Internet-of-Things (IoT)
devices. Smooth functioning of smart cities is conditioned on seamless communication …

Digital forensic research: current state of the art

S Raghavan - Csi Transactions on ICT, 2013 - Springer
Digital forensics is the process of employing scientific principles and processes to analyze
electronically stored information and determine the sequence of events which led to a …

Learning jpeg compression artifacts for image manipulation detection and localization

MJ Kwon, SH Nam, IJ Yu, HK Lee, C Kim - International Journal of …, 2022 - Springer
Detecting and localizing image manipulation are necessary to counter malicious use of
image editing techniques. Accordingly, it is essential to distinguish between authentic and …

Camera model identification with the use of deep convolutional neural networks

A Tuama, F Comby, M Chaumont - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
In this paper, we propose a camera model identification method based on deep
convolutional neural networks (CNNs). Unlike traditional methods, CNNs can automatically …

Digital image forensics: a booklet for beginners

JA Redi, W Taktak, JL Dugelay - Multimedia Tools and Applications, 2011 - Springer
Digital visual media represent nowadays one of the principal means for communication.
Lately, the reliability of digital visual information has been questioned, due to the ease in …

Source camera identification using enhanced sensor pattern noise

CT Li - IEEE Transactions on Information Forensics and …, 2010 - ieeexplore.ieee.org
Sensor pattern noises (SPNs), extracted from digital images to serve as the fingerprints of
imaging devices, have been proved as an effective way for digital device identification …

Comprehensive analyses of image forgery detection methods from traditional to deep learning approaches: an evaluation

P Sharma, M Kumar, H Sharma - Multimedia Tools and Applications, 2023 - Springer
The digital image proves critical evidence in the fields like forensic investigation, criminal
investigation, intelligence systems, medical imaging, insurance claims, and journalism to …

Accurate detection of demosaicing regularity for digital image forensics

H Cao, AC Kot - IEEE Transactions on Information Forensics …, 2009 - ieeexplore.ieee.org
In this paper, we propose a novel accurate detection framework of demosaicing regularity
from different source images. The proposed framework first reversely classifies the …

A survey of techniques for the identification of mobile phones using the physical fingerprints of the built-in components

G Baldini, G Steri - IEEE Communications Surveys & Tutorials, 2017 - ieeexplore.ieee.org
In recent years, several research studies have investigated the identification of electronic
devices through their physical components and properties, both from a theoretical point of …

Camera model identification based on the heteroscedastic noise model

TH Thai, R Cogranne, F Retraint - IEEE Transactions on Image …, 2013 - ieeexplore.ieee.org
The goal of this paper is to design a statistical test for the camera model identification
problem. The approach is based on the heteroscedastic noise model, which more accurately …