Abstract
Voice assistant systems are convenient, but attackers can mimic users' voices to access them and steal private information. We develop an authentication system that defends against acoustic attacks by using unique characteristics captured by the accelerometers in wearable devices.
Original language | English (US) |
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Pages (from-to) | 83-92 |
Number of pages | 10 |
Journal | IEEE Security and Privacy |
Volume | 19 |
Issue number | 6 |
DOIs | |
State | Published - Nov 1 2021 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Law