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 Juanjuan Li;Junqing Li;Xiao Wang;Rui Qin;Yong Yuan;Fei-Yue Wang

作者机构：IEEE the State Key Laboratory of Multimodal Artificial Intelligence SystemsInstitute of AutomationChinese Academy of SciencesBeijing 100190China the College of Computer Science and EngineeringShandong University of Science and TechnologyQingdao 266590China the School of Artificial IntelligenceAnhui UniversityHefei 266114 the Qingdao Academy of Intelligent IndustriesQingdao 230031China the School of MathematicsRenmin University of ChinaBeijing 100872China the State Key Laboratory for Management and Control of Complex SystemsChinese Academy of SciencesBeijing 100190 the Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao 999078China 

出 版 物：《IEEE/CAA Journal of Automatica Sinica》 (自动化学报（英文版）)

年 卷 期：2023年第10卷第12期

页      面：2222-2232页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 

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) 

主　　题：Auction data trading markets multi-blockchain pricing mechanisms 

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 *** 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 *** 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 ***,pricing mechanisms are then proposed to protect these markets against strategic trading behaviors and balance the payoffs of both suppliers and ***,in regular data trading on VChain-S2D,two auction models are employed according to the demand scale,for dealing with users’ strategic *** 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 *** 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 ***,experiments are carried out to demonstrate the strength of this research in enhancing data security and trading efficiency.