Security in smart cities: A brief review of digital forensic schemes for biometric data
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 …
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 …
electronically stored information and determine the sequence of events which led to a …
Learning jpeg compression artifacts for image manipulation detection and localization
Detecting and localizing image manipulation are necessary to counter malicious use of
image editing techniques. Accordingly, it is essential to distinguish between authentic and …
image editing techniques. Accordingly, it is essential to distinguish between authentic and …
Camera model identification with the use of deep convolutional neural networks
In this paper, we propose a camera model identification method based on deep
convolutional neural networks (CNNs). Unlike traditional methods, CNNs can automatically …
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 …
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 …
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
The digital image proves critical evidence in the fields like forensic investigation, criminal
investigation, intelligence systems, medical imaging, insurance claims, and journalism to …
investigation, intelligence systems, medical imaging, insurance claims, and journalism to …
Accurate detection of demosaicing regularity for digital image forensics
In this paper, we propose a novel accurate detection framework of demosaicing regularity
from different source images. The proposed framework first reversely classifies the …
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
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 …
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 …
problem. The approach is based on the heteroscedastic noise model, which more accurately …