Digital forensic analysis for source video identification: A survey

Y Akbari, S Al-Máadeed, O Elharrouss, F Khelifi… - Forensic Science …, 2022 - Elsevier
In recent years, many digital devices have been equipped with a video camera that allows
videos to be recorded in good quality, free of charge and without restrictions. Concurrently …

Fits: Matching camera fingerprints subject to software noise pollution

L Liu, X Fu, X Chen, J Wang, Z Ba, F Lin, L Lu… - Proceedings of the 2023 …, 2023 - dl.acm.org
Physically unclonable hardware fingerprints can be used for device authentication. The
photo-response non-uniformity (PRNU) is the most reliable hardware fingerprint of digital …

Social network identification of laundered videos based on DCT coefficient analysis

D Shullani, D Baracchi, M Iuliani… - IEEE Signal Processing …, 2022 - ieeexplore.ieee.org
Identifying the originating social network of a digital video is considered a relevant task to
support law enforcement agencies and intelligence services in tracing producers of …

On explainable closed-set source device identification using log-Mel spectrograms from videos' audio: a grad-CAM approach

C Korgialas, G Tzolopoulos, C Kotropoulos - IEEE Access, 2024 - ieeexplore.ieee.org
Source Device Identification (SDI) is pivotal in multimedia forensics, as it entails the
recognition of the device that captured a specific image or video. This paper introduces an …

PRNU registration under scale and rotation transform based on convolutional neural networks

M Fanfani, A Piva, C Colombo - Pattern Recognition, 2022 - Elsevier
Assessing if an image comes from a specific device is fundamental in many application
scenarios. The most promising techniques to solve this problem rely on the Photo Response …

Exploring Biomedical Video Source Identification: Transitioning from Fuzzy-Based Systems to Machine Learning Models

S Singh, VK Sehgal - Fuzzy Information and Engineering, 2024 - ieeexplore.ieee.org
In recent years, the field of biomedical video source identification has witnessed a significant
evolution driven by advances in both fuzzy-based systems and machine learning models …

[PDF][PDF] Sensor fingerprints: Camera identification and beyond

M Kirchner - Multimedia Forensics, 2022 - library.oapen.org
Every imaging sensor introduces a certain amount of noise to the images it captures—slight
fluctuations in the intensity of individual pixels even when the sensor plane was lit absolutely …

Identifying the Digital Camera from Natural Images Using Residual Noise and the Jensen–Shannon Divergence

F Rodríguez-Santos… - Journal of Electrical …, 2022 - Wiley Online Library
Regarding the problem of digital camera identification, many methods have been proposed,
and for several of them, their effectiveness has been verified on the basis of disputed flat …

Video source camera identification using fusion of texture features and noise fingerprint

T Anmol, K Sitara - Forensic Science International: Digital Investigation, 2024 - Elsevier
In Video forensics, the objective of Source Camera Identification (SCI) is to identify and verify
the origin of a video that is under investigation. This aids the investigator to trace the video to …

ACL: Account Linking in Online Social Networks with Robust Camera Fingerprint Matching

L Liu, X Fu, X Chen, J Wang, Z Ba, F Lin… - … on Dependable and …, 2024 - ieeexplore.ieee.org
Pseudonyms used in Online social networks (OSNs) post a great challenge to fighting
against cyber crimes. To build a strong case, law enforcement may want to link multiple user …