CROct 15, 2017

Link Before You Share: Managing Privacy Policies through Blockchain

arXiv:1710.05363v122 citations
Originality Incremental advance
AI Analysis

This addresses privacy management for users of online content providers and Big Data applications, offering an automated solution to enforce and track data policies, though it appears incremental by combining existing technologies like ontology and blockchain.

The paper tackles the problem of users struggling to manage and track their Personally Identifiable Information (PII) shared with online providers by developing a novel framework that integrates a Data Privacy ontology with blockchain to automate access control and audit mechanisms, validated through the implementation of a working system called LinkShare.

With the advent of numerous online content providers, utilities and applications, each with their own specific version of privacy policies and its associated overhead, it is becoming increasingly difficult for concerned users to manage and track the confidential information that they share with the providers. Users consent to providers to gather and share their Personally Identifiable Information (PII). We have developed a novel framework to automatically track details about how a users' PII data is stored, used and shared by the provider. We have integrated our Data Privacy ontology with the properties of blockchain, to develop an automated access control and audit mechanism that enforces users' data privacy policies when sharing their data across third parties. We have also validated this framework by implementing a working system LinkShare. In this paper, we describe our framework on detail along with the LinkShare system. Our approach can be adopted by Big Data users to automatically apply their privacy policy on data operations and track the flow of that data across various stakeholders.

Foundations

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