We address the problem of clustering a set of images, according to their source device, in
the absence of any prior information. Image similarity is computed based on noise residuals …

Although sensor pattern noise (SPN) has been proved to be an effective means to uniquely
identify digital cameras, some non-unique artifacts, shared among cameras undergo the …

Recognizing information about the origin of a digital image has been individuated as a
crucial task to be tackled by the image forensic scientific community. Understanding …

Multifactor user authentication systems enhance security by augmenting passwords with the
verification of additional pieces of information such as the possession of a particular device …

Practical applications of digital forensics are often faced with the challenge of grou** large-
scale suspicious images into a vast number of clusters, each containing images taken by the …

Succeeding in determining information about the origin of a digital image is a basic issue of
multimedia forensics. In particular it could be interesting to individuate which is the specific …

Camera attribution approaches in digital image forensics have most often been evaluated in
a closed set context, whereby all devices are known during training and testing time …

Every day the use of images from mobile devices as evidence in legal proceedings is more
usual and common. Therefore, forensic analysis of mobile device images takes on special …

Clustering images according to their acquisition devices is a well-known problem in
multimedia forensics, which is typically faced by means of camera sensor pattern noise …

Compressed sensing is an established technique for simultaneous signal acquisition and
compression, as well as dimensionality reduction, based on representing a signal with a …