Privacy Leakage via Speech-induced Vibrations on Room Objects through Remote Sensing based on Phased-MIMO
Cong Shi, Tianfang Zhang, Zhaoyi Xu, Shuping Li, Donglin Gao, Changming Li, Athina P. Petropulu, Chung‐Tse Michael Wu, Yingying Chen
Abstract
Speech eavesdropping has long been an important threat to the privacy of individuals and enterprises. Recent research has shown the possibility of deriving private speech information from sound-induced vibrations. Acoustic signals transmitted through a solid medium or air may induce vibrations upon solid surfaces, which can be picked up by various sensors (e.g., motion sensors, high-speed cameras and lasers), without using a microphone. To date, these threats are limited to scenarios where the sensor is in contact with the vibration surface or at least in the visual line-of-sight.
Topics & Concepts
EavesdroppingVibrationMicrophoneAcousticsLeakage (economics)Computer scienceLoudspeakerInformation leakageComputer securityPhysicsMacroeconomicsEconomicsIndoor and Outdoor Localization TechnologiesSpeech and Audio ProcessingAntenna Design and Analysis