China＇s foreign trade operation situation According to the statistics collected by Customs, in January-October 2017, China＇s total import and export value reached RMB 22.52 trillion, with an increase of 15.9% year o...China＇s foreign trade operation situation According to the statistics collected by Customs, in January-October 2017, China＇s total import and export value reached RMB 22.52 trillion, with an increase of 15.9% year on year.展开更多
China’s foreign trade in the first ten months of 2011 According to statistics of the Customs, China’s exports and imports in the first ten months of the year reached $2.97538 trillion, up 24.3% over the same period ...China’s foreign trade in the first ten months of 2011 According to statistics of the Customs, China’s exports and imports in the first ten months of the year reached $2.97538 trillion, up 24.3% over the same period last year, 12 percentage展开更多
Data trading is a crucial means of unlocking the value of Internet of Things(IoT)data.However,IoT data differs from traditional material goods due to its intangible and replicable nature.This difference leads to ambig...Data trading is a crucial means of unlocking the value of Internet of Things(IoT)data.However,IoT data differs from traditional material goods due to its intangible and replicable nature.This difference leads to ambiguous data rights,confusing pricing,and challenges in matching.Additionally,centralized IoT data trading platforms pose risks such as privacy leakage.To address these issues,we propose a profit-driven distributed trading mechanism for IoT data.First,a blockchain-based trading architecture for IoT data,leveraging the transparent and tamper-proof features of blockchain technology,is proposed to establish trust between data owners and data requesters.Second,an IoT data registration method that encompasses both rights confirmation and pricing is designed.The data right confirmation method uses non-fungible token to record ownership and authenticate IoT data.For pricing,we develop an IoT data value assessment index system and introduce a pricing model based on a combination of the sparrow search algorithm and the back propagation neural network.Finally,an IoT data matching method is designed based on the Stackelberg game.This establishes a Stackelberg game model involving multiple data owners and requesters,employing a hierarchical optimization method to determine the optimal purchase strategy.The security of the mechanism is analyzed and the performance of both the pricing method and matching method is evaluated.Experiments demonstrate that both methods outperform traditional approaches in terms of error rates and profit maximization.展开更多
UN Comtrade(United Nations international trade statistics database)是全球最大且应用最为广泛的国际贸易数据库,具有高权威性与完整性.本文在框架体系结构设计与数据表结构设计基础上构建UN Comtrade数据共享平台,以期为地理学研...UN Comtrade(United Nations international trade statistics database)是全球最大且应用最为广泛的国际贸易数据库,具有高权威性与完整性.本文在框架体系结构设计与数据表结构设计基础上构建UN Comtrade数据共享平台,以期为地理学研究提供数据与工具支撑.在数据聚合策略方面,平台通过综合集成数据爬取、加载模块并嵌套多种错误修正方法,实现5亿多条商品贸易记录的动态高容错聚合.在检索策略方面,平台通过分区复合索引提升数据检索指令执行效率与可扩展性.检索试验表明,平台能够在80用户并发模式下稳定执行不同类型检索指令,并且通过调用ODBC/JDBC接口将计算过程融入检索任务,可以更加有效利用服务器端资源并节省数据传输与读写耗时,具有效率更高、简化数据处理过程等优点.2017年平台被应用于中-美商品显性比较优势特征检索-计算-格网化表达-对比分析,案例表明平台具有高效、稳定的并发检索效率,以及高可扩展性等优点,可以为贸易特征计算与分析提供便捷快速、形式多样的数据共享服务.展开更多
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...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.展开更多
These days,data is regarded as a valuable asset in the era of the data economy,which demands a trading platform for buying and selling data.However,online data trading poses challenges in terms of security and fairnes...These days,data is regarded as a valuable asset in the era of the data economy,which demands a trading platform for buying and selling data.However,online data trading poses challenges in terms of security and fairness because the seller and the buyer may not fully trust each other.Therefore,in this paper,a blockchain-based secure and fair data trading system is proposed by taking advantage of the smart contract and matchmaking encryption.The proposed system enables bilateral authorization,where data trading between a seller and a buyer is accomplished only if their policies,required by each other,are satisfied simultaneously.This can be achieved by exploiting the security features of the matchmaking encryption.To guarantee non-repudiation and fairness between trading parties,the proposed system leverages a smart contract to ensure that the parties honestly carry out the data trading protocol.However,the smart contract in the proposed system does not include complex cryptographic operations for the efficiency of onchain processes.Instead,these operations are carried out by off-chain parties and their results are used as input for the on-chain procedure.The system also uses an arbitration protocol to resolve disputes based on the trading proof recorded on the blockchain.The performance of the protocol is evaluated in terms of off-chain computation overhead and on-chain gas consumption.The results of the experiments demonstrate that the proposed protocols can enable the implementation of a cost-effective data trading system.展开更多
The rapid development of social technology has replaced physical interaction in the trading market.The implication of this technology is to provide access to the right information at the right time.The drawback of the...The rapid development of social technology has replaced physical interaction in the trading market.The implication of this technology is to provide access to the right information at the right time.The drawback of these technologies is that the eavesdropper can remove the user from the network and can create proxy participants.In this paper,we discuss how a social network overcome and prevent these data trading issues.To maintain the security of data trading,we applied ABE technique based on DBDH to secure data trading network.Our proposedτ-access policy scheme provides the best solution for the betterment of data trading network in terms of security.Inτ-access policy scheme,the users can encrypt and decrypt Private Transactions Information(PTI)using our proposedτ-access policy.The security properties ofτ-access policy are data confidentiality,data integrity,authenticity,non-repudiation,and unforgeability.The efficiency of our scheme is 77.73%,which is more suitable for data trading markets and trading strategies.展开更多
With the development of Big Data and the Internet of Things(IoT),the data value is more significant in both academia and industry.Trading can achieve maximal data value and prepare data for smart city services.Due to ...With the development of Big Data and the Internet of Things(IoT),the data value is more significant in both academia and industry.Trading can achieve maximal data value and prepare data for smart city services.Due to data's unique characteristics,such as dispersion,heterogeneity and distributed storage,an unbiased platform is necessary for the data trading market with rational trading entities.Meanwhile,there are multiple buyers and sellers in a practical data trading market,and this makes it challenging to maximize social welfare.To solve these problems,this paper proposes a Social-Welfare-Oriented Many-to-Many Trading Mechanism(SOMTM),which integrates three entities,a trading process and an algorithm named Many-to-Many Trading Algorithm(MMTA).Based on the market scale,market dominated-side and market fixed-side,simulations verify the convergency,economic properties and efficiency of SOMTM.展开更多
This paper proposes a C/S system model for K-Java and PDA named Net-Wireless.It is a discussion and proposal on information security and solutions for R-Java handsets and PDAsin wireless network. It also explains the ...This paper proposes a C/S system model for K-Java and PDA named Net-Wireless.It is a discussion and proposal on information security and solutions for R-Java handsets and PDAsin wireless network. It also explains the scheme which between client security module and serversecurity module. Also, We have developed a Security Server and a K-Java encryption module fore-commerce system and other trade systems.展开更多
文摘China＇s foreign trade operation situation According to the statistics collected by Customs, in January-October 2017, China＇s total import and export value reached RMB 22.52 trillion, with an increase of 15.9% year on year.
文摘China’s foreign trade in the first ten months of 2011 According to statistics of the Customs, China’s exports and imports in the first ten months of the year reached $2.97538 trillion, up 24.3% over the same period last year, 12 percentage
基金supported by the National Key Research and Development Program of China(No.2022YFF0610003)the BUPT Excellent Ph.D.Students Foundation(No.CX2022218)the Fund of Central University Basic Research Projects(No.2023ZCTH11).
文摘Data trading is a crucial means of unlocking the value of Internet of Things(IoT)data.However,IoT data differs from traditional material goods due to its intangible and replicable nature.This difference leads to ambiguous data rights,confusing pricing,and challenges in matching.Additionally,centralized IoT data trading platforms pose risks such as privacy leakage.To address these issues,we propose a profit-driven distributed trading mechanism for IoT data.First,a blockchain-based trading architecture for IoT data,leveraging the transparent and tamper-proof features of blockchain technology,is proposed to establish trust between data owners and data requesters.Second,an IoT data registration method that encompasses both rights confirmation and pricing is designed.The data right confirmation method uses non-fungible token to record ownership and authenticate IoT data.For pricing,we develop an IoT data value assessment index system and introduce a pricing model based on a combination of the sparrow search algorithm and the back propagation neural network.Finally,an IoT data matching method is designed based on the Stackelberg game.This establishes a Stackelberg game model involving multiple data owners and requesters,employing a hierarchical optimization method to determine the optimal purchase strategy.The security of the mechanism is analyzed and the performance of both the pricing method and matching method is evaluated.Experiments demonstrate that both methods outperform traditional approaches in terms of error rates and profit maximization.
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)。
文摘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.
基金supported by Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(No.2022R1I1A3063257)supported by Electronics and Telecommunications Research Institute(ETRI)grant funded by the Korean Government[22ZR1300,Research on Intelligent Cyber Security and Trust Infra].
文摘These days,data is regarded as a valuable asset in the era of the data economy,which demands a trading platform for buying and selling data.However,online data trading poses challenges in terms of security and fairness because the seller and the buyer may not fully trust each other.Therefore,in this paper,a blockchain-based secure and fair data trading system is proposed by taking advantage of the smart contract and matchmaking encryption.The proposed system enables bilateral authorization,where data trading between a seller and a buyer is accomplished only if their policies,required by each other,are satisfied simultaneously.This can be achieved by exploiting the security features of the matchmaking encryption.To guarantee non-repudiation and fairness between trading parties,the proposed system leverages a smart contract to ensure that the parties honestly carry out the data trading protocol.However,the smart contract in the proposed system does not include complex cryptographic operations for the efficiency of onchain processes.Instead,these operations are carried out by off-chain parties and their results are used as input for the on-chain procedure.The system also uses an arbitration protocol to resolve disputes based on the trading proof recorded on the blockchain.The performance of the protocol is evaluated in terms of off-chain computation overhead and on-chain gas consumption.The results of the experiments demonstrate that the proposed protocols can enable the implementation of a cost-effective data trading system.
文摘The rapid development of social technology has replaced physical interaction in the trading market.The implication of this technology is to provide access to the right information at the right time.The drawback of these technologies is that the eavesdropper can remove the user from the network and can create proxy participants.In this paper,we discuss how a social network overcome and prevent these data trading issues.To maintain the security of data trading,we applied ABE technique based on DBDH to secure data trading network.Our proposedτ-access policy scheme provides the best solution for the betterment of data trading network in terms of security.Inτ-access policy scheme,the users can encrypt and decrypt Private Transactions Information(PTI)using our proposedτ-access policy.The security properties ofτ-access policy are data confidentiality,data integrity,authenticity,non-repudiation,and unforgeability.The efficiency of our scheme is 77.73%,which is more suitable for data trading markets and trading strategies.
文摘With the development of Big Data and the Internet of Things(IoT),the data value is more significant in both academia and industry.Trading can achieve maximal data value and prepare data for smart city services.Due to data's unique characteristics,such as dispersion,heterogeneity and distributed storage,an unbiased platform is necessary for the data trading market with rational trading entities.Meanwhile,there are multiple buyers and sellers in a practical data trading market,and this makes it challenging to maximize social welfare.To solve these problems,this paper proposes a Social-Welfare-Oriented Many-to-Many Trading Mechanism(SOMTM),which integrates three entities,a trading process and an algorithm named Many-to-Many Trading Algorithm(MMTA).Based on the market scale,market dominated-side and market fixed-side,simulations verify the convergency,economic properties and efficiency of SOMTM.
基金the National Natural Science Foundation of China(No.61303094)the Program of Science and Technology Commission of Shanghai Municipality(No.16511102400)the Innovation Program of Shanghai Municipal Education Commission(No.14YZ024)
文摘This paper proposes a C/S system model for K-Java and PDA named Net-Wireless.It is a discussion and proposal on information security and solutions for R-Java handsets and PDAsin wireless network. It also explains the scheme which between client security module and serversecurity module. Also, We have developed a Security Server and a K-Java encryption module fore-commerce system and other trade systems.
