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Smartphone image acquisition forensics using sensor fingerprint

Sandoval Orozco, Ana Lucila, Garcia Villalba, Luis Javier, Arenas Gonzalez, David Manuel, Rosales Corripio, Jocelin, Hernandez-Castro, Julio C., Gibson, Stuart James (2015) Smartphone image acquisition forensics using sensor fingerprint. Institute of Engineering and Technology, Computer Vision,, 9 (5). pp. 723-731. ISSN 1751-9632. E-ISSN 1751-9640. (doi:10.1049/iet-cvi.2014.0243) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided)

Abstract

The forensic analysis of digital images from mobile devices is particularly important given their quick expansion and everyday use in the society. A further consequence of digital images' widespread use is that they are used today as silent witnesses in legal proceedings, as crucial evidence of the crime. This study specifically addresses the description of a technique that allows the identification of the image source acquisition, for the specific case of mobile devices images. This approach is to extract wavelet-based ...

Item Type: Article
DOI/Identification number: 10.1049/iet-cvi.2014.0243
Uncontrolled keywords: digital image; image classification; image source acquisition identification; mobile devices; sensor fingerprint; sensor pattern noise; smartphone image acquisition forensics; support vector machine; wavelet-based feature extraction;
Subjects: Q Science
Divisions: Faculties > Sciences > School of Computing
Depositing User: Stuart Gibson
Date Deposited: 14 Dec 2015 15:08 UTC
Last Modified: 29 May 2019 16:47 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/53396 (The current URI for this page, for reference purposes)
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