SensorEar: A Sensor Network Based Eavesdropping System
نویسندگان
چکیده
We present a sensor network based eavesdropping system, SensorEar, which demonstrates a serious threat to an individual’s privacy. The small size, long battery lifetimes and easy deployment enable the use of sensor networks in malicious ways. Our system comprises motes which record speech, compress the data and transmit it over a multi-hop network in real time. After noise reduction, we are able to hear, with sufficient clarity, the person’s conversation. In contrast with the 10 100 Hertz sampling of typical applications, audio recording requires a sampling frequency of several kilohertz. We address research challenges associated with this high data volume system, and design solutions including a multi-rate compression algorithm, communication protocol modifications and a unique FDMA/TDMA based system architecture. We have built a complete prototype using commercial off-the-shelf components. Further, we have chosen the most basic hardware to make our solutions truly platform independent.
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