Pledge: A Private Ledger Based Decentralized Data Sharing Framework

• Published in: 2019 Spring Simulation Conference (SpringSim) pp. 1 - 11
• Main Authors: Doku, Ronald, Rawat, Danda
• Format: Conference Proceeding
• Language: English
• Published: SCS 01-04-2019
• Subjects: Big Data; Blockchain; Data models; Data privacy; decentralized data storage; Machine learning; Memory; Protocols
• DOI: 10.23919/SpringSim.2019.8732913

Blockchain startups are basing their business models on disrupting the centralized way of data storage by highlighting the value of data to the public. A distributed approach to storing data is the safer way to prevent attacks is what is being evangelized. GAFA (Google, Apple, Facebook, Amazon) have monopolized data, therefore bringing in the most revenue whilst depriving the data generators of any form of compensation. In our work, we propose a platform where a user can store his/her own personal data. Here, we present to the user the right to decide what happens to their data. These decisions include selling, renting, and deleting data. The deletion of data undermines the fundamentals the blockchain is built on (data immutability). We address the issues of personal data sharing and how a user's right to delete his/her data can be enforced in a blockchain based network such as ours.