Back to articles
Fingerprinting
Volume: 28 | Article ID: art00023
Image
Robust smartphone fingerprint by mixing device sensors features for mobile strong authentication
  DOI :  10.2352/ISSN.2470-1173.2016.8.MWSF-088  Published OnlineFebruary 2016
Abstract

In the next coming years, many of our basic activities such as reading an e-mail, checking our bank account, buying on-line, etc., will be performed by using a smartphone in a mobile environment. It is quite obvious that the degree of security granted by a classic username-password access is not sufficient and that a stronger level of safeness is required. However, usually adopted additional instruments such as smart cards, USB sticks and OTP generators are not always available or usable in mobility. In this paper a possible solution which envisages the use of the user's own smartphone as a mean to grant a safer and easy mobile access is presented. The objective is to introduce a novel methodology to obtain a robust smartphone fingerprint by opportunely combining different intrinsic characteristics of each sensor. Modern mobile phones, in fact, have several kinds of sensors such as accelerometer, gyroscope, magnetometer, microphone and camera; such sensors can be used to uniquely identify each phone by measuring the specific anomalies left onto the signals they acquire. Satisfactory results have been obtained when the sensors are used in combination, especially accelerometer and digital camera, achieving a significant level of smartphone distinctiveness.

Subject Areas :
Views 30
Downloads 6
 articleview.views 30
 articleview.downloads 6
  Cite this article 

Irene Amerini, Paolo Bestagini, Luca Bondi, Roberto Caldelli, Matteo Casini, Stefano Tubaro, "Robust smartphone fingerprint by mixing device sensors features for mobile strong authenticationin Proc. IS&T Int’l. Symp. on Electronic Imaging: Media Watermarking, Security, and Forensics,  2016,  https://doi.org/10.2352/ISSN.2470-1173.2016.8.MWSF-088

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2016
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology