Dynamic privacy management in pervasive sensor networks
Author(s)Gong, Nan-wei; Laibowitz, Mathew Joel; Paradiso, Joseph A.
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This paper describes the design and implementation of a dynamic privacy management system aimed at enabling tangible privacy control and feedback in a pervasive sensor network. Our work began with the development of a potentially invasive sensor network (with high resolution video, audio, and motion tracking capabilities) featuring different interactive applications that created incentive for accepting this network as an extension of people’s daily social space. A user study was then conducted to evaluate several privacy management approaches – an active badge system for both online and on-site control, on/off power switches for physically disabling the hardware, and touch screen input control. Results from a user study indicated that an active badge for on-site privacy control is the most preferable method among all provided options. We present a set of results that yield insight into the privacy/benefit tradeoff from various sensing capabilities in pervasive sensor networks and how privacy settings and user behavior relate in these environments.
DepartmentMassachusetts Institute of Technology. Media Laboratory; Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Springer Science + Business Media B.V.
Gong, Nan-Wei, Mathew Laibowitz, and Joseph A. Paradiso. “Dynamic Privacy Management in Pervasive Sensor Networks.” Ambient Intelligence. Ed. Boris Ruyter et al. Vol. 6439. Berlin : Springer Berlin Heidelberg, 2010. 96-106. (Lecture notes in computer science ; 6439)
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