SECURING DATA WITH BLOCKCHAIN AND AI

Abstract

Data is the input for various artificial intelligence (AI) algorithms to mine
valuable features, yet data in Internet is scattered everywhere and controlled by different
stakeholders who cannot believe in each other, and usage of the data in complex
cyberspace is difficult to authorize or to validate. As a result, it is very difficult to enable
data sharing in cyberspace for the real big data, as well as a real powerful AI. In this paper,
we propose the SecNet, an architecture that can enable secure data storing, computing, and
sharing in the large- scale Internet environment, aiming at a more secure cyberspace with
real big data and thus enhanced AI with plenty of data source, by integrating three key
components: 1) blockchain-based data sharing with ownership guarantee, which enables
trusted data sharing in the large-scale environment to form real big data; 2) AI-based secure
computing platform to produce more intelligent security rules, which helps to construct a
more trusted cyberspace; 3) trusted value-exchange mechanism for purchasing security
service, providing a way for participants to gain economic rewards when giving out their
data or service, which promotes the data sharing and thus achieves better performance of
AI. Moreover, we discuss the typical use scenario of SecNet as well as its potentially
alternative way to deploy, as well as analyze its effectiveness from the aspect of network
security and economic revenue.