mmSafe: A Voice Security Verification System Based on Millimeter-Wave Radar

• Published in: Sensors (Basel, Switzerland) Vol. 22; no. 23; p. 9309
• Main Authors: Hao, Zhanjun, Peng, Jianxiang, Dang, Xiaochao, Yan, Hao, Wang, Ruidong
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 29-11-2022; MDPI
• Subjects: authentication; Biometry; Biometry - methods; Cell Phone; Clutter; Computer Security; Data encryption chips; Intrusion; Microphones; Millimeter waves; millimeter-wave; Motion effects; playback attacks; Radar; Radar systems; Safety and security measures; security privacy; Sensors; Signal processing; Smartphones; Static objects; text-independent; User statistics; Verification; vocal cord vibration; Voice; vocal cord vibration; millimeter-wave; security privacy; text-independent; playback attacks; authentication
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s22239309

With the increasing popularity of smart devices, users can control their mobile phones, TVs, cars, and smart furniture by using voice assistants, but voice assistants are susceptible to intrusion by outsider speakers or playback attacks. In order to address this security issue, a millimeter-wave radar-based voice security authentication system is proposed in this paper. First, the speaker's fine-grained vocal cord vibration signal is extracted by eliminating static object clutter and motion effects; second, the weighted Mel Frequency Cepstrum Coefficients (MFCCs) are obtained as biometric features; and finally, text-independent security authentication is performed by the WMHS (Weighted MFCCs and Hog-based SVM) method. This system is highly adaptable and can authenticate designated speakers, resist intrusion by other unspecified speakers as well as playback attacks, and is secure for smart devices. Extensive experiments have verified that the system achieves a 93.4% speaker verification accuracy and a 5.8% miss detection rate for playback attacks.