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Source identification for mobile devices, based on wavelet transforms combined with sensor imperfections

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Abstract

One of the most relevant applications of digital image forensics is to accurately identify the device used for taking a given set of images, a problem called source identification. This paper studies recent developments in the field and proposes the mixture of two techniques (Sensor Imperfections and Wavelet Transforms) to get better source identification of images generated with mobile devices. Our results show that Sensor Imperfections and Wavelet Transforms can jointly serve as good forensic features to help trace the source camera of images produced by mobile phones. Furthermore, the model proposed here can also determine with high precision both the brand and model of the device.

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Acknowledgments

This work was supported by the Agencia Española de Cooperación Internacional para el Desarrollo (AECID, Spain) through Acción Integrada MAEC-AECID MEDITERRÁNEO A1/037528/11.

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Authors and Affiliations

  1. Group of Analysis, Security and Systems (GASS), Department of Software Engineering and Artificial Intelligence (DISIA), School of Computer Science, Office 431, Universidad Complutense de Madrid (UCM), Calle Profesor José García Santesmases s/n, Ciudad Universitaria, 28040 , Madrid, Spain

    A. L. Sandoval Orozco, D. M. Arenas González, J. Rosales Corripio & L. J. García Villalba

  2. School of Computing, Office S129A, University of Kent, Cornwallis South Building, Canterbury, CT2 7NF, UK

    J. C. Hernandez-Castro

Authors
  1. A. L. Sandoval Orozco
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  2. D. M. Arenas González
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  3. J. Rosales Corripio
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  4. L. J. García Villalba
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  5. J. C. Hernandez-Castro
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Correspondence to L. J. García Villalba.

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Sandoval Orozco, A.L., Arenas González, D.M., Rosales Corripio, J. et al. Source identification for mobile devices, based on wavelet transforms combined with sensor imperfections. Computing 96, 829–841 (2014). https://doi.org/10.1007/s00607-013-0313-5

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  • DOI: https://doi.org/10.1007/s00607-013-0313-5

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