IoT Registrar for Automated Privacy-Preserving Data Federation

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Solution Overview

Problem

Current IoT systems face challenges in enabling privacy-preserving data federation across diverse platforms and domains, particularly in sensitive environments like healthcare and smart cities, where data interoperability and security are critical, and existing solutions often require human intervention, leading to latency and errors in registration and access policy creation.

Innovation Solution

A method and system for automated privacy-preserving data federation in IoT systems, utilizing an IoT registrar that generates data availability registrations and access policies based on predefined directives, allowing for plug-and-play federation without disclosing sensitive information and minimizing latency and errors.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If automated registration and access policy creation is implemented, then productivity and speed are improved, but device complexity increases

Engineering Contradiction:

Improveregistration and access policy creation efficiencyVSAvoidIoT registrar system complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The IoT registrar automatically generates registrations and access policies without human intervention by processing data messages, determining new information, triggering directives, and creating registrations autonomously

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system pre-configures directives that define conditions and registration generation functions, allowing automated processing to occur based on predefined rules rather than ad-hoc human decisions

Inventive Principle:

Principle #10Preliminary action

2Reliability

If privacy-preserving data federation is implemented, then data security is improved, but information loss increases

Engineering Contradiction:

Improvedata security and privacy protectionVSAvoiddata disclosure for federation purposes

Core Design Contradiction:

ReliabilityVSLoss of information

Solution Approach 1:

The system extracts only the necessary information needed for federation operations while leaving sensitive data protected, generating registrations that enable data sharing without exposing underlying sensitive information

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The IoT registrar acts as an intermediary that processes data messages and generates registrations, mediating between raw data and federated data sharing while preserving privacy through automated policy application

Inventive Principle:

Principle #24Intermediary (Mediator)

3Device complexity

If manual registration and access policy creation is used, then device complexity is reduced, but loss of time and productivity decrease

Engineering Contradiction:

Improvesystem implementation simplicityVSAvoidregistration and policy creation time

Core Design Contradiction:

Device complexityVSLoss of time

Solution Approach 1:

The system replaces manual human operations with automated computational processes, using algorithms to determine new information, select directives, and generate registrations automatically

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS11283788B2Method and system for an internet of things platform

Publication Date: 2022.03.22 NEC CORP

AI summary

A method for performing privacy-preserving data federation in an internet-of-things (IoT) system includes: receiving a data message; determining whether the data message contains new information; based on determining that the data message contains the new information, determining one or more directives to trigger based on the data message; and generating a registration based on the one or more triggered directives.