Wenjuan Tang

TL;DR: A privacy-preserving heath data aggregation scheme that securely collects health data from multiple sources and guarantee fair incentives for contributing patients is proposed and combines Boneh–Goh–Nissim cryptosystem and Shamir’s secret sharing to keep data obliviousness security and fault tolerance.

TL;DR: This paper proposes a personalized and trusted healthcare service approach to enable trusted and privacy-preserving healthcare services in social media health networks, which can improve the trustiness between patients and caregivers through authentic ratings toward caregivers and guarantee the patients’ privacy.

TL;DR: This article introduces the overall infrastructure and some promising applications, including emergent healthcare service, health risk assessment, and healthcare notification, and discusses the challenges of fog-enabled smart health from the perspectives of cooperation and security.

TL;DR: This paper proposes a flexible and efficient authenticated key agreement scheme (PBAKA) to provide secure communication for BANs, and demonstrates that PBAKA is provably secure under the decisional bilinear Diffie-Hellman assumption.

TL;DR: An efficient and privacy-preserving fog-assisted health data sharing (PFHDS) scheme for e-healthcare systems is proposed that integrates the fog node to classify the shared data into different categories according to disease risks for efficient health data analysis.