Abstract
In this talk, we will examine attacks that can be performed against sensors that have become prevalent in smart devices, Internet of Things, and Cyber-Physical Systems. These devices have become part of our everyday life, integrated, for example, in health monitoring solutions, autonomous vehicles, and home automation. A classification of current threat models on sensors is presented. Of particular interest are attacks that make use of interference to trick devices into performing unintended actions. This talk serves as a summary of knowledge on the state of the art in utilizing sensor data for improving the security of smart devices and systems with the goal of inspiring new interdisciplinary research between the acoustics and cybersecurity communities.
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