SonarSnoop : active acoustic side-channel attacks

Cheng, Peng and Bagci, Ibrahim and Roedig, Utz and Yan, Jeff (2020) SonarSnoop : active acoustic side-channel attacks. International Journal of Information Security, 19. pp. 213-228. ISSN 1615-5262

Full text not available from this repository.

Abstract

We report the first active acoustic side-channel attack. Speakers are used to emit human inaudible acoustic signals, and the echo is recorded via microphones, turning the acoustic system of a smart phone into a sonar system. The echo signal can be used to profile user interaction with the device. For example, a victim’s finger movements can be inferred to steal Android unlock patterns. In our empirical study, the number of candidate unlock patterns that an attacker must try to authenticate herself to a Samsung S4 phone can be reduced by up to 70% using this novel acoustic side channel. The attack is entirely unnoticeable to victims. Our approach can be easily applied to other application scenarios and device types. Overall, our work highlights a new family of security threats.

Item Type:
Journal Article
Journal or Publication Title:
International Journal of Information Security
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1712
Subjects:
?? side-channel attackacoustic systemactive sonarmobile devicesoftwarecomputer networks and communicationsinformation systemssafety, risk, reliability and quality ??
ID Code:
134622
Deposited By:
Deposited On:
22 Jun 2019 09:15
Refereed?:
Yes
Published?:
Published
Last Modified:
15 Jul 2024 19:29