Design And Implementation Of Non-Performing Assets Bidding System Based On Blockchain

With the slowdown in my country’s economic growth in recent years and the impact of COVID-19,asset management companies are under increasing pressure on the disposal of non-performing assets.However,most of the current asset management companies dispose of nonperforming assets mainly rely on offline transactions or entrusting a thirdparty auction platform.The transaction efficiency is low,and data security and transaction fairness cannot be guaranteed.In view of the current status of non-performing assets disposal,this paper proposes a blockchain-based non-performing asset bidding system,which solves the problems of low efficiency,poor data security,and inability to guarantee fair bidding in non-performing asset bidding transactions.The system adopts the blockchain framework Hyperledger Fabric to form an alliance of multiple parties participating in the bidding transaction.Both the non-performing asset package data and the bidding transaction data are uploaded to the blockchain,and the chain code is used to execute the transaction process to ensure that the transaction cannot be tampered with.This system uses Fabric’s private data storage for bidding by all parties to prevent the leakage of the bidding amount during the bidding process.In addition,this system combines the Inter Planetary File System(IPFS)to store the due diligence reports and other attachments in the non-performing asset package in IPFS,which not only reduces the storage pressure of the blockchain system,but also satisfies the data proof requirements.Finally,the system adopts an adaptive block segmentation method,which improves the throughput under high traffic and reduces the delay under low traffic.According to the realization of the system,this paper gives the corresponding deployment and testing scheme,and conducts functional tests for the system.Finally,the performance of the system is tested in different concurrent environments,and it is confirmed that the system has achieved the expected effect.