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Wednesday, March 11 • 1:30pm - 2:30pm
Fingerprinting on Encrypted Voice Traffic on Smart Speakers with Deep Learning

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Smart speakers have been adopted by millions of users. However, the privacy impacts of smart speakers have not been well examined. We investigate the privacy leakage of smart speakers under an encrypted traffic analysis attack, named voice command fingerprinting. In this attack, an adversary eavesdrops encrypted voice traffic from and to a smart speaker and infers which voice command a user says without decrypting encrypted traffic. We design our attacks using deep learning. Our results show disturbing privacy concerns, where an attacker can infer 92% voice commands correctly on Amazon Echo.

avatar for Boyang Wang

Boyang Wang

Assistant Professor, University of Cincinnati
Boyang Wang is a tenure-track Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Cincinnati. He received his Ph.D. in Electrical and Computer Engineering from the University of Arizona. His current research focus on data security... Read More →

Wednesday March 11, 2020 1:30pm - 2:30pm
Room 127

Attendees (8)