| Title | TAES: Two-factor Authentication with End-to-End Security against VoIP Phishing |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Hou, Dai, Han, Hao, Novak, Ed |
| Conference Name | 2020 IEEE/ACM Symposium on Edge Computing (SEC) |
| Date Published | Nov. 2020 |
| Publisher | IEEE |
| ISBN Number | 978-1-7281-5943-0 |
| Keywords | authentication, GMM-UBM, Human Behavior, human factors, identity authentication, MFCC, pubcrawl, security, smart phones, speaker recognition, Spectrogram, Speech recognition, Telecommunications, Two factor Authentication, voice, voice-print, Voiceprint recognition |
| Abstract | In the current state of communication technology, the abuse of VoIP has led to the emergence of telecommunications fraud. We urgently need an end-to-end identity authentication mechanism to verify the identity of the caller. This paper proposes an end-to-end, dual identity authentication mechanism to solve the problem of telecommunications fraud. Our first technique is to use the Hermes algorithm of data transmission technology on an unknown voice channel to transmit the certificate, thereby authenticating the caller's phone number. Our second technique uses voice-print recognition technology and a Gaussian mixture model (a general background probabilistic model) to establish a model of the speaker to verify the caller's voice to ensure the speaker's identity. Our solution is implemented on the Android platform, and simultaneously tests and evaluates transmission efficiency and speaker recognition. Experiments conducted on Android phones show that the error rate of the voice channel transmission signature certificate is within 3.247 %, and the certificate signature verification mechanism is feasible. The accuracy of the voice-print recognition is 72%, making it effective as a reference for identity authentication. |
| URL | https://ieeexplore.ieee.org/document/9355810 |
| DOI | 10.1109/SEC50012.2020.00049 |
| Citation Key | hou_taes_2020 |
TAES: Two-factor Authentication with End-to-End Security against VoIP Phishing