Title: Towards a Trustworthy Pervasive Sensing Substrate for the IoT Era
Abstract:
Sensors in our phones, sensors on our bodies, sensors in our spaces. Just in a short time span we seem to have been inundated by sensors everywhere. Sitting at the edges of the emerging distributed computing fabric being called the Internet of Things (IoT), networked sensors produce rich data of high volume, velocity, and variety. These sensory data streams enable pervasive awareness, predictive analytics, customization and just-in-time intervention in a variety of application domains such as mHealth, smart buildings, and intelligent transportation.
While their benefits are numerous, sensors also present immense new privacy and security risks that are hard to comprehend as the high-dimensionality sensor data is quite different from other data that we encounter in our lives and have experience with. Sophisticated adversaries, benefiting from the same advances in computing technologies as the sensing systems, can manipulate sensory sources and analyze data in subtle ways to extract sensitive knowledge, cause erroneous inferences, and subvert decisions. The consequences of these compromises will only amplify as our society increasingly complex human-cyber-physical systems with increased reliance on sensory information and real-time decision cycles.
Drawing upon examples from sensors in applications such as mobile health and sustainable buildings, this talk will discuss the challenges in designing a trustworthy pervasive sensing substrate. For it to be trusted by both, the pervasive sensing infrastructure must be robust to active adversaries who are deceptively extracting private information, manipulating beliefs and subverting decisions. Solving these challenges would require a new science of resilient, secure and trustworthy networked sensing and control systems for which the talk will present some initial insights.
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