TRUST-FREE BLOCK CHAIN FRAMEWORK FOR AI- GENERATED CONTENT TRADING AND MANAGEMENT IN

Abstract

Artificial intelligence that generates content has been on the increase thanks to the
expansion of the metaverse and developments in GAI. The digital nature of AIGCs
makes them susceptible to theft and illegal distribution over the internet, in contrast to
tangible items. Additionally, trust difficulties arise often in virtual AIGC exchanges,
such as buyers not paying after getting material or sellers not releasing content after
payment. Conventional DAM systems often depend on a single, trusted third party to
handle these issues; however, this approach comes with its own set of hazards, such as
SPoF, in the event that the third party is compromised. We provide MetaTrade, a
distributed ledger technology (DAM) system built on the blockchain, to solve these
problems by facilitating the safe trading and administration of AIGCs in a decentralised,
trustless metaverse. By eliminating the requirement for a third party, MetaTrade makes
it possible for parties in a transaction to do business without having to rely on each
other. Security research verifies MetaTrade's resistance against plagiarism, SPoF, and
trust-based vulnerabilities, while performance assessments demonstrate that it exceeds
current systems in terms of cost and efficiency. As an example of its usefulness, we
built a MetaTrade-based decentralised application (DApp) that provides a metaverse
marketplace for AIGCs.