Multi-Blockchain Based Data Trading Markets With Novel Pricing Mechanisms  

作　　者：Juanjuan Li Junqing Li Xiao Wang Rui Qin Yong Yuan Fei-Yue Wang 

机构地区：[1]IEEE [2]the State Key Laboratory of Multimodal Artificial Intelligence Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China [3]the College of Computer Science and Engineering,Shandong University of Science and Technology,Qingdao 266590,China [4]the School of Artificial Intelligence,Anhui University,Hefei 266114 [5]the Qingdao Academy of Intelligent Industries,Qingdao 230031,China [6]the School of Mathematics,Renmin University of China,Beijing 100872,China [7]the State Key Laboratory for Management and Control of Complex Systems,Chinese Academy of Sciences,Beijing 100190 [8]the Faculty of Innovation Engineering,Macao University of Science and Technology,Macao 999078,China

出　　处：《IEEE/CAA Journal of Automatica Sinica》2023年第12期2222-2232,共11页自动化学报（英文版）

基　　金：partially supported by the Science and Technology Development Fund,Macao SAR (0050/2020/A1);the National Natural Science Foundation of China (62103411, 72171230)。

摘　　要：In the era of big data,there is an urgent need to establish data trading markets for effectively releasing the tremendous value of the drastically explosive data.Data security and data pricing,however,are still widely regarded as major challenges in this respect,which motivate this research on the novel multi-blockchain based framework for data trading markets and their associated pricing mechanisms.In this context,data recording and trading are conducted separately within two separate blockchains:the data blockchain(DChain) and the value blockchain(VChain).This enables the establishment of two-layer data trading markets to manage initial data trading in the primary market and subsequent data resales in the secondary market.Moreover,pricing mechanisms are then proposed to protect these markets against strategic trading behaviors and balance the payoffs of both suppliers and users.Specifically,in regular data trading on VChain-S2D,two auction models are employed according to the demand scale,for dealing with users’ strategic bidding.The incentive-compatible Vickrey-Clarke-Groves(VCG)model is deployed to the low-demand trading scenario,while the nearly incentive-compatible monopolistic price(MP) model is utilized for the high-demand trading scenario.With temporary data trading on VChain-D2S,a reverse auction mechanism namely two-stage obscure selection(TSOS) is designed to regulate both suppliers’ quoting and users’ valuation strategies.Furthermore,experiments are carried out to demonstrate the strength of this research in enhancing data security and trading efficiency.

关 键 词：AUCTION data trading markets multi-blockchain pricing mechanisms 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]