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Recent advances in counter PRNU based source attribution and beyond

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Akademik Birimler

Kurum Yazarları

Karaküçük, Ahmet
Dirik, Ahmet E.

Yazarlar

Sencar, Hüsrev T.
Memon, Nasir D.

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Yayıncı:

Spie-Int SOC Optical Engineering

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Özet

Photo response noise uniformity (PRNU) based source attribution has proven to be a powerful technique in multimedia forensics. The increasing prominence of this technique, combined with its introduction as evidence in the court, brought with it the need for it to withstand anti-forensics. Although robustness under common signal processing operations and geometrical transformations have been considered as potential attacks on this technique, new adversarial settings that curtail the performance of this technique are constantly being introduced. Starting with an overview of proposed approaches to counter PRNU based source attribution, this work introduces photographic panoramas as one such approach and discusses how to defend against it.

Açıklama

Bu çalışma, 09-11 Şubat 2015 tarihleri arasında San Francisco[Amerika Birleşik Devletleri]’da düzenlenen Conference on Media Watermarking, Security, and Forensics'da bildiri olarak sunulmuştur.

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Konusu

Computer science, Optics, Imaging science & photographic technology, Source camera identification, Photo-response-non-uniformity, Counter-forensics, Forensics, Geometric transformations, Adaptive prnu denoising, Seam-carving, Panoramic-imaging, Camera identification, Traces, Mathematical transformations, Counter-forensics, De-noising, Forensics, Geometric transformations, Panoramic imaging, Photo response non-uniformity, Seam carving, Source camera identifications, Signal processing

Alıntı

Karaküçük, A. vd. (2015). "Recent advances in counter PRNU based source attribution and beyond". Proceedings of SPIE, Media Watermarking, Security, and Forensics 2015, 9409.

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