Secure voice-based authentication for mobile devices: vaulted voice verification

Abstract

As the use of biometrics becomes more wide-spread, the privacy concerns that stem from the use of biometrics are becoming more apparent. As the usage of mobile devices grows, so does the desire to implement biometric identification into such devices. A large majority of mobile devices being used are mobile phones. While work is being done to implement different types of biometrics into mobile phones, such as photo based biometrics, voice is a more natural choice. The idea of voice as a biometric identifier has been around a long time. One of the major concerns with using voice as an identifier is the instability of voice. We have developed a protocol that addresses those instabilities and preserves privacy. This paper describes a novel protocol that allows a user to authenticate using voice on a mobile/remote device without compromising their privacy. We first discuss the Vaulted Verification protocol, which has recently been introduced in research literature, and then describe its limitations. We then introduce a novel adaptation and extension of the Vaulted Verification protocol to voice, dubbed Vaulted Voice Verification (V 3 ). Following that we show a performance evaluation and then conclude with a discussion of security and future work.

Remote authentication using vaulted fingerprint verification

“…(Arakala et al, 2007), (Fan and Lin, 2009), (Jin et al, 2012), (Kaizhi and Aiqun, 2013), (Li et al, 2012), (Nagar et al, 2010), (Teoh and Kim, 2007), , (Yang et al, 2014) use error correction codes on the biometric. (Bringer et al, 2012), (Johnson et al, 2013b), (Nandakumar et al, 2007), (Scheirer and Boult, 2009) use error correction codes to correct a message as part the authentication process.…”

“…Public key cryptography is used in , (Fan and Lin, 2009), (Johnson et al, 2013b), (Li et al, 2013), , (Scheirer and Boult, 2009). …”

“…The server can then use the protocol to verify the user. Vaulted Verification is described in and implemented in and (Johnson et al, 2013b). The enrollment and verification processes are as follows.…”

Synthetic Voice Harmonization: A Fast and Precise Method

“…There are several possible applications for the methods found in this report, among those contemplated are voice biometrics as a means of user authentication [13], [9], [6], pitch detection as a means of measuring note accuracy in karaoke singing [12], a pitch corrector as a voice effect [15], [3], generating various voices from a template voice track [2], or the voice harmonizer which was implemented.…”

Extraction of specific data from a sound sample by removing additional distortion

“…In [5], smartphone user identity was presented where gait characterization was used and the same idea can be used with voice analysis. Again in [6], voice-based authentication for the purpose of application in mobile phones was discussed. Large systems need huge databases where samples and data will be kept.…”