Multimedia Forensics

This book is open access. Media forensics has never been more relevant to societal life. Not only media content represents an ever-increasing share of the data traveling on the net and the preferred communications means for most users, it has also become integral part of most innovative applications in the digital information ecosystem that serves various sectors of society, from the entertainment, to journalism, to politics. Undoubtedly, the advances in deep learning and computational imaging contributed significantly to this outcome. The underlying technologies that drive this trend, however, also pose a profound challenge in establishing trust in what we see, hear, and read, and make media content the preferred target of malicious attacks. In this new threat landscape powered by innovative imaging technologies and sophisticated tools, based on autoencoders and generative adversarial networks, this book fills an important gap. It presents a comprehensive review of state-of-the-art forensics capabilities that relate to media attribution, integrity and authenticity verification, and counter forensics. Its content is developed to provide practitioners, researchers, photo and video enthusiasts, and students a holistic view of the field

Multimedia Forensics

This book is open access. Media forensics has never been more relevant to societal life. Not only media content represents an ever-increasing share of the data traveling on the net and the preferred communications means for most users, it has also become integral part of most innovative applications in the digital information ecosystem that serves various sectors of society, from the entertainment, to journalism, to politics. Undoubtedly, the advances in deep learning and computational imaging contributed significantly to this outcome. The underlying technologies that drive this trend, however, also pose a profound challenge in establishing trust in what we see, hear, and read, and make media content the preferred target of malicious attacks. In this new threat landscape powered by innovative imaging technologies and sophisticated tools, based on autoencoders and generative adversarial networks, this book fills an important gap. It presents a comprehensive review of state-of-the-art forensics capabilities that relate to media attribution, integrity and authenticity verification, and counter forensics. Its content is developed to provide practitioners, researchers, photo and video enthusiasts, and students a holistic view of the field

Countering the pooled triangle test for PRNU-based camera identification

We analyze the security of the pooled triangle test in [1] against Counter-Forensic attacks. First, a new attack is proposed, relying on a block-wise variance-based estimation of the fingerprint. The new attack permits to reduce greatly the accuracy of the pooled test, thus outperforming state of the art methods which are in general effective only against the single-image version of the test [1]. Then, a randomized version of the newly proposed attack is introduced to increase its security. The randomized version of the attack maintains good performance even when an attack-aware version of the pooled test is applied. Extensive experiments are carried out in a very general setting, also permitting to show that the performance of the pooled triangle test in the presence of attacks greatly depend on the test parameters, and in particular, on the relationship between the number of images used to run the test and the cardinality of the set of images used for the attack

Undergraduate Catalogue 2008-2009

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Undergraduate Catalogue 2009-2010

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Undergraduate Catalogue 2009-2010

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Undergraduate Catalogue 2010-2011

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Undergraduate Catalogue 2010-2011

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Undergraduate Catalogue 2011-2012

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