Quantifying Interference-Assisted Signal Strength Surveillance of Sound Vibrations

摘要: A malicious attacker could, by taking control of internet-of-things devices, use them to capture received signal strength (RSS) measurements and perform surveillance on a person's vital signs, activities, sound in their environment. This article considers an who looks for subtle changes the RSS order eavesdrop vibrations. The challenge adversary is that vibrations cause very low amplitude RSS, typically quantized with significantly larger step size. contributes lower bound attacker's monitoring performance as function size sampling frequency so designer can understand relationship. Our little-known counter-intuitive fact improve sinusoidal parameter estimates making some devices transmit add interference power into measurements. We demonstrate this capability experimentally. As we show, typical transceivers, monitor remarkable accuracy. New mitigation strategies will be required prevent attacks.