Towards Practical Privacy-Preserving Analytics for IoT and Cloud Based Healthcare Systems

by   Sagar Sharma, et al.

Modern healthcare systems now rely on advanced computing methods and technologies, such as Internet of Things (IoT) devices and clouds, to collect and analyze personal health data at an unprecedented scale and depth. Patients, doctors, healthcare providers, and researchers depend on analytical models derived from such data sources to remotely monitor patients, early-diagnose diseases, and find personalized treatments and medications. However, without appropriate privacy protection, conducting data analytics becomes a source of a privacy nightmare. In this article, we present the research challenges in developing practical privacy-preserving analytics in healthcare information systems. The study is based on kHealth - a personalized digital healthcare information system that is being developed and tested for disease monitoring. We analyze the data and analytic requirements for the involved parties, identify the privacy assets, analyze existing privacy substrates, and discuss the potential tradeoff among privacy, efficiency, and model quality.



There are no comments yet.


page 1


A Survey on Security and Privacy Issues in Modern Healthcare Systems: Attacks and Defenses

The recent advancements in computing systems and wireless communications...

Secure Multi-Party Computation based Privacy Preserving Data Analysis in Healthcare IoT Systems

Recently, many innovations have been experienced in healthcare by rapidl...

A Privacy-Preserving Data Inference Framework for Internet of Health Things Networks

Privacy protection in electronic healthcare applications is an important...

SARS-CoV-2, a Threat to Privacy?

The global SARS-CoV-2 pandemic is currently putting a massive strain on ...

A Deep Learning Approach for Privacy Preservation in Assisted Living

In the era of Internet of Things (IoT) technologies the potential for pr...

Synthesising Privacy by Design Knowledge Towards Explainable Internet of Things Application Designing in Healthcare

Privacy by Design (PbD) is the most common approach followed by software...

An Advanced Conceptual Diagnostic Healthcare Framework for Diabetes and Cardiovascular Disorders

The data mining along with emerging computing techniques have astonishin...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.