SECURING DATA WITH BLOCKCHAIN AND AI

Abstract

Data is the input for various arti_cial
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 dif_cult to
authorize or to validate. As a result, it is
very dif_cult 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 largescale
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.