Leveraging Secure Multiparty Computation in the Internet of Things

06/06/2018

∙

Centralized systems in the Internet of Things---be it local middleware or cloud-based services---fail to fundamentally address privacy of the collected data. We propose an architecture featuring secure multiparty computation at its core in order to realize data processing systems which already incorporate support for privacy protection in the architecture.

READ FULL TEXT

Leveraging Secure Multiparty Computation in the Internet of Things

Data Querying and Access Control for Secure Multiparty Computation

Sensor Signal Processing using High-Level Synthesis and Internet of Things with a Layered Architecture

A Secure Authentication Technique in Internet of Medical Things through Machine Learning

Trustworthy and Privacy-Aware Sensing for Internet of Things

Lightning-Fast and Privacy-Preserving Outsourced Computation in the Cloud

An Overview of Privacy Dimensions on Industrial Internet of Things (IIoT)

An Improved Energy-Aware Clustering Method for the Regional Queries in the Internet of Things

Leveraging Secure Multiparty Computation in the Internet of Things

Related Research

Data Querying and Access Control for Secure Multiparty Computation

Sensor Signal Processing using High-Level Synthesis and Internet of Things with a Layered Architecture

A Secure Authentication Technique in Internet of Medical Things through Machine Learning

Trustworthy and Privacy-Aware Sensing for Internet of Things

Lightning-Fast and Privacy-Preserving Outsourced Computation in the Cloud

An Overview of Privacy Dimensions on Industrial Internet of Things (IIoT)

An Improved Energy-Aware Clustering Method for the Regional Queries in the Internet of Things