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Bringing Energy into Utility-Privacy Tradeoff in IoT

With billions of the Internet of Things (IoT) world-wide, the proliferation of IoT technologies will increase the global energy footprint. To date, much of the focus has been on addressing privacy exposure with approaches that remove sensitive information and, at the same time, ensure that users still derive utility from the data. In this paper, we bring the energy aspects of privatizers into the modeling and analysis of utility-privacy (UP) tradeoffs in IoT. We present a framework that enables users to examine (a) the energy cost of privatizing data, (b) the effect on the utility of the data, and (c) the privacy achieved. We evaluate our model with audio and image data and show that we can reduce energy consumption while retaining the user's chosen UP tradeoff point.