Multimedia Tools and Applications

, Volume 75, Issue 12, pp 7087–7111 | Cite as

Image source acquisition identification of mobile devices based on the use of features

  • Ana Lucila Sandoval Orozco
  • Jocelin Rosales Corripio
  • Luis Javier García Villalba
  • Julio César Hernández Castro
Article

Abstract

Nowadays, forensic analysis of digital images is especially important, given the frequent use of digital cameras in mobile devices. The identification of the device type or the make and model of image source are two important branches of forensic analysis of digital images. In this paper we have addressed both of these, with an approach based on different types of image features and the classification using support vector machines. The study has mainly focused on images created with mobile devices and as a result, the techniques and features have been adapted or created for this purpose. There have been a total of 36 experiments classified into 5 sets, in order to test different configurations of the techniques. In the configuration of the experiments, the future use of the technique by the forensic analyst in real situations to create experiments with high technical requirements was taken into account, amongst other things.

Keywords

Forensics analysis Counter forensics Image anonymity Image forgery Photo response non uniformity Wavelet 

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • Ana Lucila Sandoval Orozco
    • 1
  • Jocelin Rosales Corripio
    • 1
  • Luis Javier García Villalba
    • 1
  • Julio César Hernández Castro
    • 2
  1. 1.Group of Analysis, Security and Systems (GASS), Department of Software Engineering and Artificial Intelligence (DISIA), Faculty of Computer Science and Engineering, Office 431Universidad Complutense de Madrid (UCM)MadridSpain
  2. 2.School of Computing, Office S129AUniversity of KentCanterburyUK

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