Title: Re-DPoctor: Real-time health data releasing with w-day differential privacy,
Abstract: Wearable devices enable users to collect health data and share them with
healthcare providers for improved health service. Since health data contain
privacy-sensitive information, unprotected data release system may result in
privacy leakage problem. Most of the existing work use differential privacy for
private data release. However, they have limitations in healthcare scenarios
because they do not consider the unique features of health data being collected
from wearables, such as continuous real-time collection and pattern
preservation. In this paper, we propose Re-DPoctor, a real-time health data
releasing scheme with $w$-day differential privacy where the privacy of health
data collected from any consecutive $w$ days is preserved. We improve utility
by using a specially-designed partition algorithm to protect the health data
patterns. Meanwhile, we improve privacy preservation by applying newly proposed
adaptive sampling technique and budget allocation method. We prove that
Re-DPoctor satisfies $w$-day differential privacy. Experiments on real health
data demonstrate that our method achieves better utility with strong privacy
guarantee than existing state-of-the-art methods.