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KARAKÜÇÜK, AHMET

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KARAKÜÇÜK

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AHMET

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    Publication
    Prnu based source camera attribution for image sets anonymized with patch-match algorithm
    (Elsevier Sci Ltd, 2019-09-01) Karaküçük, Ahmet; KARAKÜÇÜK, AHMET; Dirik, A. Emir; DİRİK, AHMET EMİR; Bursa Uludağ Üniversitesi/Mühendisliği Fakültesi/Elektrik ve Elektronik Mühendisliği Bölümü.; Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/Bilgisayar Mühendisliği Bölümü.; KIK-4851-2024; A-1996-2017
    Patch-Match is an efficient algorithm used for structural image editing and available as a tool on popular commercial photo-editing software. The tool allows users to insert or remove objects from photos using information from similar scene content. Recently, a modified version of this algorithm was proposed as a counter-measure against Photo-Response Non-Uniformity (PRNU) based Source Camera Identification (SCI). The algorithm can provide anonymity at a great rate (97%) and impede PRNU based SCI without the need of any other information, hence leaving no-known recourse for the PRNU-based SCI. In this paper, we propose a method to identify sources of the Patch-Match-applied images by using randomized subsets of images and the traditional PRNU based SCI methods. We evaluate the proposed method on two forensics scenarios in which an adversary makes use of the Patch-Match algorithm and distorts the PRNU noise pattern in the incriminating images she took with his camera. Our results show that it is possible to link sets of Patch-Match-applied images back to their source camera even in the presence of images that come from unknown cameras. To our best knowledge, the proposed method represents the very first counter-measure against the usage of Patch-Match in the digital forensics literature.
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    Source device attribution of thermal images captured with handheld ir cameras
    (Ieee, 2019-01-01) ; Karaküçük, Ahmet; Dirik, A. Emir; DİRİK, AHMET EMİR; KARAKÜÇÜK, AHMET; Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği Bölümü.; Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/Bilgisayar Mühendisliği Bölümü.; KIK-4851-2024; A-1996-2017
    Source camera attribution of digital images has been a hot research topic in digital forensics literature. However, the thermal cameras and the radiometric data they generate stood as a nascent topic, as such devices arc expensive and tailored for specific use-cases not adapted by the masses. This has changed dramatically, with the low-cost, pluggable thermal-camera add-ons to smartphones and similar low-cost pocket-size thermal cameras introduced to consumers recently, which enabled the use of thermal imaging devices for the masses. In this paper, we are going to investigate the use of an established source device attribution method on radiometric data produced with a consumer-level, low-cost handheld thermal camera. The results we represent in this paper are promising and show that it is quite possible to attribute thermal images with their source camera.