title: mSieve: Differential Behavioral Privacy in Time Series of Mobile Sensor Data.
abstract: Differential privacy concepts have been successfully used to protect anonymity of individuals in population-scale analysis. Sharing of mobile sensor data, especially physiological data, raise different privacy challenges, that of protecting private behaviors that can be revealed from time series of sensor data. Existing privacy mechanisms rely on noise addition and data perturbation. But the accuracy requirement on inferences drawn from physiological data, together with well-established limits within which these data values occur, render traditional privacy mechanisms inapplicable. In this work, we define a new behavioral privacy metric based on differential privacy and propose a novel data substitution mechanism to protect behavioral privacy. We evaluate the efficacy of our scheme using 660 hours of ECG, respiration, and activity data collected from 43 participants and demonstrate that it is possible to retain meaningful utility, in terms of inference accuracy (90%), while simultaneously preserving the privacy of sensitive behaviors.
authors.affiliation: University of Memphis.
authors.forename: Nazir
authors.initials: N
authors.lastname: Saleheen
authors.affiliation: IBM T. J. Watson Research Center.
authors.forename: Supriyo
authors.initials: S
authors.lastname: Chakraborty
authors.affiliation: University of Memphis.
authors.forename: Nasir
authors.initials: N
authors.lastname: Ali
authors.affiliation: Nokia Research.
authors.forename: Md
authors.initials: M
authors.lastname: Mahbubur Rahman
authors.affiliation: University of Memphis.
authors.forename: Syed Monowar
authors.initials: SM
authors.lastname: Hossain
authors.affiliation: University of Memphis.
authors.forename: Rummana
authors.initials: R
authors.lastname: Bari
authors.affiliation: University of Memphis.
authors.forename: Eugene
authors.initials: E
authors.lastname: Buder
authors.affiliation: University of California, Los Angeles.
authors.forename: Mani
authors.initials: M
authors.lastname: Srivastava
authors.affiliation: University of Memphis.
authors.forename: Santosh
authors.initials: S
authors.lastname: Kumar
keywords: Behavioral Privacy; Differential Privacy; Mobile Health