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Using decision fusion of feature selection in digital forensics for camera source model identification

Min-Jen Tsai, Chen-Sheng Wang, Jung Liu, Jin-Sheng Yin
2012 Computer Standards & Interfaces  
Various image-related and hardware-related features are utilized in the proposed model by a support vector machine approach along with decision fusion techniques.  ...  Digital forensics, which identifies the characteristics and origin of a digital device, has become a new field of research.  ...  Then, they used a RBF-based SVM classifier to identify the camera source based on 28 features from 4 feature sets.  ... 
doi:10.1016/j.csi.2011.10.006 fatcat:uv5cl6zbanbpnjgc3khcpg2vae

A feature-based approach for image tampering detection and localization

Luisa Verdoliva, Davide Cozzolino, Giovanni Poggi
2014 2014 IEEE International Workshop on Information Forensics and Security (WIFS)  
We propose a new camera-based technique for tampering localization.  ...  A large number of blocks are extracted off-line from training images and characterized through features based on a dense local descriptor.  ...  Fig. 1 : 1 Camera-based (left) and processing-based (right) detection performance using a Canon EOS 450D as target camera.  ... 
doi:10.1109/wifs.2014.7084319 dblp:conf/wifs/VerdolivaCP14 fatcat:ccxr777bnndx3okcsfiwurfwrq

Unexpected artefacts in PRNU-based camera identification

Thomas Gloe, Stefan Pfennig, Matthias Kirchner
2012 Proceedings of the on Multimedia and security - MM&Sec '12  
Although sensor noise is generally known as a very reliable means to uniquely identify digital cameras, care has to be taken with respect to camera model characteristics that may cause false accusations  ...  The observed artefacts may provide valuable clues for camera model identification, but also call for particular attention when creating reference noise patterns for applications that require low false  ...  , we also investigated the performance of PRNU-based digital camera identification.  ... 
doi:10.1145/2361407.2361426 dblp:conf/mmsec/GloePK12 fatcat:wnvkkhcpw5eq7kawc57kp53krm

PRNU-based source device attribution for YouTube videos

Emmanuel Kiegaing Kouokam, Ahmet Emir Dirik
2019 Digital Investigation. The International Journal of Digital Forensics and Incident Response  
Photo Response Non-Uniformity (PRNU) is a camera imaging sensor imperfection which has earned a great interest for source device attribution of digital videos.  ...  A majority of recent researches about PRNU-based source device attribution for digital videos do not take into consideration the effects of video compression on the PRNU noise in video frames, but rather  ...  This approach also solves the problem of estimating PRNU fingerprint of cameras featuring digital video stabilization (like iPhones and some Android smartphones) since this camera feature misaligns the  ... 
doi:10.1016/j.diin.2019.03.005 fatcat:5jr563hj2vegjn6w6xztdy4vdm

A leak in PRNU based source identification? Questioning fingerprint uniqueness [article]

Massimo Iuliani, Marco Fontani, Alessandro Piva
2020 arXiv   pre-print
Although the primary cause of high false alarm rates cannot be directly related to specific camera models, firmware nor image contents, it is evident that the effectiveness of PRNU-based source identification  ...  Its uniqueness ensures that the sensor pattern noises extracted from different cameras are strongly uncorrelated, even when they belong to the same camera model.  ...  Considering that PRNU-based source camera identification is currently used by law enforcement agencies worldwide, often to investigate serious crimes such as child sexual exploitation, we believe it is  ... 
arXiv:2009.04878v1 fatcat:jm33k7luyvhnfg3jn6paoac6ly

Beyond PRNU: Learning Robust Device-Specific Fingerprint for Source Camera Identification [article]

Manisha, Chang-Tsun Li, Xufeng Lin, Karunakar A. Kotegar
2021 arXiv   pre-print
In recent years, deep learning based approaches have been successful in identifying source camera models.  ...  Source camera identification tools assist image forensic investigators to associate an image in question with a suspect camera.  ...  The major contributions of the proposed work are as follows. 1) We make evident the presence of a new non-PRNU device-specific fingerprint in digital images and develop a data-driven approach using CNN  ... 
arXiv:2111.02144v1 fatcat:qiiprg4zunbcrkgx2ketmhdzsa

A comparison study of CNN denoisers on PRNU extraction [article]

Hui Zeng, Morteza Darvish Morshedi Hosseini, Kang Deng, Anjie Peng, Miroslav Goljan
2021 arXiv   pre-print
Performance of the sensor-based camera identification (SCI) method heavily relies on the denoising filter in estimating Photo-Response Non-Uniformity (PRNU).  ...  A carefully tailored training is needed when CNN denoisers are used for PRNU estimation.  ...  Concerning the reliability of the sensor-based camera identification, the denoising filter used for extracting the PRNU plays a key role.  ... 
arXiv:2112.02858v1 fatcat:knzhjup4xbh2rjr7akdswptf4y

Detection of Face Morphing Attacks based on PRNU Analysis

Ulrich Scherhag, Luca Debiasi, Christian Rathgeb, Christoph Busch, Andreas Uhl
2019 IEEE Transactions on Biometrics Behavior and Identity Science  
Differences of these features for bona fide and morphed images are estimated during a threshold-selection stage using the Dresden image database which is specifically built for PRNU analysis in digital  ...  A reliable morphing attack detection from a single face image remains a research challenge since cameras and morphing techniques used by an attacker are unknown at the time of classification.  ...  To address the question whether a PRNU-based approach can be applied for a wide range of distinct cameras, in Section V-C we evaluated the generalizability of the proposed morph detection approach on the  ... 
doi:10.1109/tbiom.2019.2942395 fatcat:sftehjbguzfyjdpbhv7k46taky

PRNU-based Image Classification of Origin Social Network with CNN

Roberto Caldelli, Irene Amerini, Chang Tsun Li
2018 2018 26th European Signal Processing Conference (EUSIPCO)  
In this work, the idea is to use the PRNU, embedded in every acquired images, as the "carrier" of the particular SN traces which diversely modulate the PRNU.  ...  We demonstrate, in this paper, that SNmodulated noise residual can be adopted as a feature to detect the social network of origin by means of a trained convolutional neural network (CNN).  ...  Action of the EU H2020 programme through the project entitled Computer Vision Enabled Multimedia Forensics and People Identification (Project No. 690907, Acronym: IDENTITY).  ... 
doi:10.23919/eusipco.2018.8553160 dblp:conf/eusipco/CaldelliAL18 fatcat:kjbxfvttyjc5dc5jhydfz65iue

Combining PRNU and noiseprint for robust and efficient device source identification [article]

Davide Cozzolino, Francesco Marra, Diego Gragnaniello, Giovanni Poggi,, Luisa Verdoliva
2020 arXiv   pre-print
PRNU-based image processing is a key asset in digital multimedia forensics.  ...  These include working on compressed and cropped images, or estimating the camera PRNU pattern based on only a few images.  ...  Acknowledgements This material is based on research sponsored by the Air Force Research Laboratory and the Defense Advanced Research Projects Agency under agreement number FA8750-16-2-0204.  ... 
arXiv:2001.06440v1 fatcat:uu35i6j6ubej5jsliwygecu2mq

Multi-scale segmentation strategies in PRNU-based image tampering localization

Weiwei Zhang, Xinhua Tang, Zhenghong Yang, Shaozhang Niu
2019 Multimedia tools and applications  
In [13], a feature-based algorithm to detect image splicing was proposed. Local features were computed from the co-occurrence of image residuals and used to extract synthetic feature parameters.  ...  An interesting approach for forgery detection relies on the characteristics of the digital camera, such as the color filter array (CFA) interpolation artifacts [17], lens aberration [22] and sensor pattern  ...  Introduction initially developed a PRNU-based technique for image forgery detection and camera identification.  ... 
doi:10.1007/s11042-019-7288-y fatcat:r5fnwz3sund55jbagpcgoqxgvm

PRNU-based image alignment for defective pixel detection

Christof Kauba, Andreas Uhl
2016 2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS)  
One possible use case where such aligned images are needed is the detection of sensor ageing related pixel defects in the scope of the biometric template ageing phenomenon but our approach can be useful  ...  For forensic purposes where the characteristics of the image sensor itself are investigated, alignment has to be done based on the pixel grid the sensor used to capture the images.  ...  We thank Xufeng Lin who supported us in the discussion of the PRNU related parts during his STSM in the scope of COST Action IC1106.  ... 
doi:10.1109/btas.2016.7791195 dblp:conf/btas/KaubaU16 fatcat:o24elorp5bgwvcttd2ptich22y

A leak in PRNU based source identification. Questioning fingerprint uniqueness

Massimo Iuliani, Marco Fontani, Alessandro Piva
2021 IEEE Access  
Considering that PRNU based source camera identification is currently used by law enforcement agencies worldwide, often to investigate serious crimes such as child sexual exploitation, we believe it is  ...  This is a severe issue since PRNU based source identification is currently used as evidence in court 1 and is implemented in several forensic software supplied to law enforcement agencies and intelligence  ... 
doi:10.1109/access.2021.3070478 fatcat:nepnw4i2ljfivihibyyw2lnf5y

Combining PRNU and noiseprint for robust and efficient device source identification

Davide Cozzolino, Francesco Marra, Diego Gragnaniello, Giovanni Poggi, Luisa Verdoliva
2020 EURASIP Journal on Information Security  
PRNU-based image processing is a key asset in digital multimedia forensics.  ...  These include working on compressed and cropped images or estimating the camera PRNU pattern based on only a few images.  ...  To this end, we rely on a recent approach for camera model identification [12] and use it to improve the PRNU-based source device identification performance.  ... 
doi:10.1186/s13635-020-0101-7 fatcat:t4hpujvlorbhjkeptuce3fsc64

A Bayesian-MRF Approach for PRNU-Based Image Forgery Detection

Giovanni Chierchia, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva
2014 IEEE Transactions on Information Forensics and Security  
Techniques based on the photo-response non-uniformity (PRNU) noise are among the most valuable such tools, since they do not detect the inserted object but rather the absence of the camera PRNU, a sort  ...  In this work we propose a new approach to detect image forgeries using sensor pattern noise.  ...  In [20] a PRNU-based technique for camera identification and forgery detection has been proposed, then refined in [21] .  ... 
doi:10.1109/tifs.2014.2302078 fatcat:iyxue53wlbeendawj5majsxgo4
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