Implementing an Asset Trading System Based on Blockchain and Game Theory

With the development of the Internet and e-commerce, an asset trading system has become more and more complicated. There are security obstacles such as the untrustworthy third-party service in the centralized management system of asset transactions. Thanks to the advanced features of openness, immutability and decentralization of blockchain technology. It is expected to solve the trust problem between buyers and sellers. Based on the Hyperledger Fabric platform, we first present an asset trading system that implements smart contracts for asset release and asset trading. Moreover, we evaluate the performance of the system using Hyperledger Caliper and test functions of system by Postman. To address issues of matching buyers and sellers, a matching model based on game theory is proposed. In this process, the user's reputation value and buyer's bid are used to determine the seller's matchable range, which aims to find the optimal equilibrium solution for buying and selling profit. Our experimental result proves that this system's average latency is less than 0.27S and the event response success rate is 1 basically, when the maximum throughput of the system is not exceeded.