access icon free Generating unique identifiers for smartphones using software

A fast and simple technique for reliably fingerprinting smartphones is presented. This technique extracts the fingerprint by capturing the small variation found in digital imaging sensors used in smartphone cameras. These variations are a result of manufacturing variability and, as such, they are different even for identical digital cameras. The main advantage of the technique presented is that it can quickly generate a fingerprint for a given phone using a mobile software that can be easily downloaded and installed without any changes to the hardware. Furthermore, this technique generates a reliable fingerprint using as little as five images while allowing the fingerprint to be used as a key to any cryptographic application. The techniques are summarised and the experimental data is presented.

Inspec keywords: cameras; smart phones; fingerprint identification; cryptography

Other keywords: mobile software; digital cameras; fingerprint extraction; reliable fingerprint; unique identifiers; cryptographic application; smartphone cameras; digital imaging sensors

Subjects: Mobile radio systems; Mobile, ubiquitous and pervasive computing; Cryptography; Data security; Image sensors

References

    1. 1)
      • 3. Fridrich, J.: ‘Sensor defects in digital image forensics’, in (Eds): ‘Digital image forensics: There is more to a picture than meets the eye’ (Springer, New York, May 2012).
    2. 2)
    3. 3)
      • 1. Kurosawa, K., Kuroki, K., Saitoh, N.: ‘CCD fingerprint method – identification of a video camera from videotaped images’. Proc. Int. Conf. Image Processing, Kobe, Japan, October 1999, Vol. 3, pp. 537540.
    4. 4)
      • 2. Goljan, M., Filler, T., Fridrich, J.: ‘Camera identification – large scale test’, Electronic Media Forensics and Security XI, San Jose, CA, USA, January 2009, Proc SPIE, 1254, pp. 0I-010I-12.
    5. 5)
      • 5. Mihçak, M.K., Kozintsev, I., Ramchandran, K.: ‘Spatially adaptive statistical modeling of wavelet image coefficients and its application to denoising’. Prof. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Phoenix, AZ, USA, March 1999, Vol. 6, pp. 32533256.
http://iet.metastore.ingenta.com/content/journals/10.1049/el.2013.3618
Loading

Related content

content/journals/10.1049/el.2013.3618
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading