TY - GEN
T1 - Synesthesia
T2 - 40th IEEE Symposium on Security and Privacy, SP 2019
AU - Genkin, Daniel
AU - Pattani, Mihir
AU - Schuster, Roei
AU - Tromer, Eran
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - We show that subtle acoustic noises emanating from within computer screens can be used to detect the content displayed on the screens. This sound can be picked up by ordinary microphones built into webcams or screens, and is inadvertently transmitted to other parties, e.g., during a videoconference call or archived recordings. It can also be recorded by a smartphone or ''smart speaker'' placed on a desk next to the screen, or from as far as 10 meters away using a parabolic microphone. Empirically demonstrating various attack scenarios, we show how this channel can be used for real-time detection of on-screen text, or users' input into on-screen virtual keyboards. We also demonstrate how an attacker can analyze the audio received during video call (e.g., on Google Hangout) to infer whether the other side is browsing the web in lieu of watching the video call, and which web site is displayed on their screen.
AB - We show that subtle acoustic noises emanating from within computer screens can be used to detect the content displayed on the screens. This sound can be picked up by ordinary microphones built into webcams or screens, and is inadvertently transmitted to other parties, e.g., during a videoconference call or archived recordings. It can also be recorded by a smartphone or ''smart speaker'' placed on a desk next to the screen, or from as far as 10 meters away using a parabolic microphone. Empirically demonstrating various attack scenarios, we show how this channel can be used for real-time detection of on-screen text, or users' input into on-screen virtual keyboards. We also demonstrate how an attacker can analyze the audio received during video call (e.g., on Google Hangout) to infer whether the other side is browsing the web in lieu of watching the video call, and which web site is displayed on their screen.
KW - Acoustic-Leakage
KW - Hardware-Security
KW - Side-Channel-Attacks
UR - http://www.scopus.com/inward/record.url?scp=85072913237&partnerID=8YFLogxK
U2 - 10.1109/SP.2019.00074
DO - 10.1109/SP.2019.00074
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AN - SCOPUS:85072913237
T3 - Proceedings - IEEE Symposium on Security and Privacy
SP - 853
EP - 869
BT - Proceedings - 2019 IEEE Symposium on Security and Privacy, SP 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 19 May 2019 through 23 May 2019
ER -