TBDCT: A Framework of Trusted Big Data Collection and Trade System Based on Blockchain and TSM

Abstract

Big data technology has brought innovation and convenience to many areas, such as medical diagnosis, financial investment and smart travel. However, one of the most urgent challenges is how to collect massive private data from end customers effectively without invasion of privacy. In this paper, a framework, called Trusted Big Data Collection and Trade (TBDCT) system, is proposed to provide a fair and trusted platform for every participant in big data world. Firstly, by adopting technology of Physical Unclonable Function (PUF), data is binded with the 'fingerprint' of the sensor to identify the authenticity of source. Secondly, private network attached storage embedded with Trusted Security Module (TSM) is used to guarantee the trustability of collecting process. Lastly, blockchain is implemented in this system to provide uncentralized accounting and trading platform. With this framework, private data can be traded and the conflict between private data shortage and invasion of privacy can be mitigated. The experiment demonstrates the feasibility of the proposed TBDCT.