Blockchain technologies have been used to facilitate Web 3.0 and FinTech applications.However,conventional blockchain technologies suffer from long transaction delays and low transaction success rates in some Web 3.0 ...Blockchain technologies have been used to facilitate Web 3.0 and FinTech applications.However,conventional blockchain technologies suffer from long transaction delays and low transaction success rates in some Web 3.0 and FinTech applications such as Supply Chain Finance(SCF).Blockchain sharding has been proposed to improve blockchain performance.However,the existing sharding methods either use a static sharding strategy,which lacks the adaptability for the dynamic SCF environment,or are designed for public chains,which are not applicable to consortium blockchain-based SCF.To address these issues,we propose an adaptive consortium blockchain sharding framework named ACSarF,which is based on the deep reinforcement learning algorithm.The proposed framework can improve consortium blockchain sharding to effectively reduce transaction delay and adaptively adjust the sharding and blockout strategies to increase the transaction success rate in a dynamic SCF environment.Furthermore,we propose to use a consistent hash algorithm in the ACSarF framework to ensure transaction load balancing in the adaptive sharding system to further improve the performance of blockchain sharding in dynamic SCF scenarios.To evaluate the proposed framework,we conducted extensive experiments in a typical SCF scenario.The obtained experimental results show that the ACSarF framework achieves a more than 60%improvement in user experience compared to other state-of-the-art blockchain systems.展开更多
Traceability and trustiness are two critical issues in the logistics sector.Blockchain provides a potential way for logistics tracking systems due to its traits of tamper resistance.However,it is non-trivial to apply ...Traceability and trustiness are two critical issues in the logistics sector.Blockchain provides a potential way for logistics tracking systems due to its traits of tamper resistance.However,it is non-trivial to apply blockchain on logistics because of firstly,the binding relationship between virtue data and physical location cannot be guaranteed so that frauds may exist.Secondly,it is neither practical to upload complete data on the blockchain due to the limited storage resources nor convincing to trust the digest of the data.This paper proposes a traceable and trustable consortium blockchain for logistics T^(2)L to provide an efficient solution to the mentioned problems.Specifically,the authenticated geocoding data from telecom operators’base stations are adopted to ensure the location credibility of the data before being uploaded to the blockchain for the purpose of reliable traceability of the logistics.Moreover,we propose a scheme based on Zero Knowledge Proof of Retrievability(ZK BLS-PoR)to ensure the trustiness of the data digest and the proofs to the blockchain.Any user in the system can check the data completeness by verifying the proofs instead of downloading and examining the whole data based on the proposed ZK BLS-PoR scheme,which can provide solid theoretical verification.In all,the proposed T^(2)L framework is a traceable and trustable logistics system with a high level of security.展开更多
As consortium blockchains scale and complexity grow,scalability presents a critical bottleneck hindering broader adoption.This paper meticulously extracted 150 primary references from IEEE Xplore,Web of Science,Google...As consortium blockchains scale and complexity grow,scalability presents a critical bottleneck hindering broader adoption.This paper meticulously extracted 150 primary references from IEEE Xplore,Web of Science,Google Scholar,and other reputable databases and websites,providing a comprehensive and structured overview of consortium blockchain scalability research.We propose a scalability framework that combines a four-layer architectural model with a four-dimensional cost model to analyze scalability trade-offs.Applying this framework,we conduct a comprehensive reviewof scaling approaches and reveal the inherent costs they introduce.Furthermore,wemap the artificial intelligence(AI)-enabled methods to the scaling approaches and analyze their effectiveness in enhancing scalability and mitigating these inherent costs.Based on this analysis,we identify the root causes of the remaining costs unresolved by AI and the new trade-offs introduced by AI integration,and propose promising research opportunities for AI-enabled consortium blockchain scalability,guiding future work toward more adaptive,intelligent,and cost-efficient consortium blockchain systems.展开更多
As one of the underlying technologies of the blockchain,the consensus algorithm plays a vital role in ensuring security and efficiency.As a consensus algorithm for the private blockchain,Raft has better performance th...As one of the underlying technologies of the blockchain,the consensus algorithm plays a vital role in ensuring security and efficiency.As a consensus algorithm for the private blockchain,Raft has better performance than the rest of the consensus algorithms,and it does not cause problems such as the concentrated hashing power,resource waste and fork.However,Raft can only be used in a non-byzantine environment with a small network size.In order to enable Raft to be used in a large-scale network with a certain number of byzantine nodes,this paper combines Raft and credit model to propose a Raft blockchain consensus algorithm based on credit model CRaft.In the node credit evaluation phase,RBF-based support vector machine is used as the anomaly detection method,and the node credit evaluation model is constructed.Then the Trust Nodes List(TNL)mechanism is introduced to make the consensus phase in a creditable network environment.Finally,the common node is synchronized to the consensus node to update the blockchain of the entire network.Experiments show that CRaft has better throughput and lower latency than the commonly used consortium blockchain consensus algorithm PBFT(Practical Byzantine Fault Tolerance).展开更多
In crowded cities,searching for the availability of parking lots is a herculean task as it results in the wastage of drivers’time,increases air pollution,and traffic congestion.Smart parking systems facilitate the dr...In crowded cities,searching for the availability of parking lots is a herculean task as it results in the wastage of drivers’time,increases air pollution,and traffic congestion.Smart parking systems facilitate the drivers to determine the information about the parking lot in real time and book them depending on the requirement.But the existing smart parking systems necessitate the drivers to reveal their sensitive information that includes their mobile number,personal identity,and desired destination.This disclosure of sensitive information makes the existing centralized smart parking systems more vulnerable to service providers’security breaches,single points of failure,and bottlenecks.In this paper,an Improved Asymmetric Consortium Blockchain and Homomorphically Computing Univariate Polynomial-based private information retrieval(IACB-HCUPPIR)scheme is proposed to ensure parking lots’availability with transparency security in a privacy-preserving smart parking system.In specific,an improved Asymmetric Consortium Blockchain is used for achieving secure transactions between different parties interacting in the smart parking environment.It further adopted the method of Homomorphically Computing Univariate Polynomial-based private information retrieval(HCUPPIR)scheme for preserving the location privacy of drivers.The results of IACB-HCUPPIR confirmed better results in terms of minimized computation and communication overload with throughput,latency,and response time with maximized drivers’privacy preservation.Moreover,the proposed fully homomorphic algorithm(FHE)was compared against partial-homomorphic encryption(PHE)and technique without encryption and found that the proposed model has quick communication in allocating the parking slots starting with 24.3 s,whereas PHE starts allocating from 24.7 s and the technique without encryption starts at 27.4 s.Thus,we ensure the proposed model performs well in allocating parking slots with less time and high security with privacy preservation.展开更多
The data in Mobile Edge Computing(MEC)contains tremendousmarket value,and data sharing canmaximize the usefulness of the data.However,certain data is quite sensitive,and sharing it directly may violate privacy.Vertica...The data in Mobile Edge Computing(MEC)contains tremendousmarket value,and data sharing canmaximize the usefulness of the data.However,certain data is quite sensitive,and sharing it directly may violate privacy.Vertical Federated Learning(VFL)is a secure distributed machine learning framework that completes joint model training by passing encryptedmodel parameters rather than raw data,so there is no data privacy leakage during the training process.Therefore,the VFL can build a bridge between data demander and owner to realize data sharing while protecting data privacy.Typically,the VFL requires a third party for key distribution and decryption of training results.In this article,we employ the consortium blockchain instead of the traditional third party and design a VFL architecture based on the consortium blockchain for data sharing in MEC.More specifically,we propose a V-Raft consensus algorithm based on Verifiable Random Functions(VRFs),which is a variant of the Raft.The VRaft is able to elect leader quickly and stably to assist data demander and owner to complete data sharing by VFL.Moreover,we apply secret sharing todistribute the private key to avoid the situationwhere the training result cannot be decrypted if the leader crashes.Finally,we analyzed the performance of the V-Raft and carried out simulation experiments,and the results show that compared with Raft,the V-Raft has higher efficiency and better scalability.展开更多
This paper focuses on how to use consortium blockchain to improve the regulation of peer-to-peer(P2 P) lending market. The partial decentralized consortium blockchain with limited pre-set nodes can well improve transp...This paper focuses on how to use consortium blockchain to improve the regulation of peer-to-peer(P2 P) lending market. The partial decentralized consortium blockchain with limited pre-set nodes can well improve transparency and security, which is suitable for financial regulation. Considering irregularities of the P2P lending market, the Hyperledger-based Peer-to-Peer Lending System(HyperP2PLS) is proposed. First elaborate the application scenario and business logic of the system, where a national P2P Lending Trading Center will be established to integrate all transactions and information of P2P lending market. Then construct the system architecture consisting of the blockchain network, HTTP server, and applications. The algorithm of implementation process and the web application for users have been well illustrated. The performance analysis shows that HyperP2PLS can guarantee the reliability, safety, transparency and efficiency.展开更多
Charging piles are used for charging electric vehicles and are directly accessible to users in an energy internet entrance,while playing an important role in energy consumption.Currently,each enterprise constructs the...Charging piles are used for charging electric vehicles and are directly accessible to users in an energy internet entrance,while playing an important role in energy consumption.Currently,each enterprise constructs the center of operation and maintenance of their systems independently,along with their respective APP payment programs.This results in high operating costs,poor user experience,and low utilization rate of the pile,which limits the promotion and popularization of electric vehicles.To overcome this limitation,there is a need for a multi-center,fair,and transparent consortium blockchain,which can conform to the application requirements of a unified payment system and accommodate a range of diverse enterprise charging piles.In this paper,the design for a consensus and incentive program for consortium blockchain is presented.First,the application status of blockchain in an energy internet is described.Then,the logical structure and hierarchical model of the consortium blockchain are analyzed.Next,multicycle accounting and limiting the amount of accounting nodes in each round is presented to ensure the overhead of consensus remain constant.Finally,the accounting incentive mechanism and the bidding encouragement strategy based on“electric beans”are designed.展开更多
As the smart grid develops rapidly,abundant connected devices offer various trading data.This raises higher requirements for secure and effective data storage.Traditional centralized data management does not meet the ...As the smart grid develops rapidly,abundant connected devices offer various trading data.This raises higher requirements for secure and effective data storage.Traditional centralized data management does not meet the above requirements.Currently,smart grid with conventional consortium blockchain can solve the above issues.However,in the face of a large number of nodes,existing consensus algorithms often perform poorly in terms of efficiency and throughput.In this paper,we propose a trust-based hierarchical consensus mechanism(THCM)to solve this problem.Firstly,we design a hierarchical mechanism to improve the efficiency and throughput.Then,intra-layer nodes use an improved Raft consensus algorithm and inter-layer nodes use the Byzantine Fault Tolerance algorithm.Thirdly,we propose a trust evaluation method to improve the election process of Raft.Finally,we implement a prototype system to evaluate the performance of THCM.The results demonstrate that the consensus efficiency is improved by 19.8%,the throughput is improved by 12.34%,and the storage is reduced by 37.9%.展开更多
Learning archives management in traditional systems faces challenges such as inadequate security,weak tamper resistance,and limited sharing capabilities.To address these issues,this paper proposes LRChain,a method bas...Learning archives management in traditional systems faces challenges such as inadequate security,weak tamper resistance,and limited sharing capabilities.To address these issues,this paper proposes LRChain,a method based on consortium blockchain,for lifelong learning archives data protection and sharing.LRChain employs a combination of on-chain and off-chain cooperative storage using a consortium chain and inter planetary file system(IPFS)to enhance data security and availability.It also enables fine-grained verification of learning archives through selective disclosure principles,ensuring privacy protection of sensitive data.Furthermore,an attributebased encryption(ABE)algorithm is utilized to establish authorized access control for learning archives,facilitating safe and trusted sharing.Experimental evaluations and security analyses demonstrate that this method exhibits decentralization,strong security,tamper resistance,and performs well,effectively meeting the requirements for secure sharing of learning archive data.展开更多
Blockchain technologies have been applied in many areas,from economics,the internet of things to the industrial internet.In order to solve the issue that the Hyperledger Fabric does not currently support Chinese Comme...Blockchain technologies have been applied in many areas,from economics,the internet of things to the industrial internet.In order to solve the issue that the Hyperledger Fabric does not currently support Chinese Commercial Cryptographic(CCC)algorithms,we extended the Blockchain Cryptographic Service Provider(BCCSP)module in the Hyperledger Fabric by upgrading the original BCCSP module to support the CCC algorithms SM2 and SM3.Furthermore,we designed a transaction process by using UBCCSP(Upgraded BCCSP),and a new smart contract also has been presented.After that,an improved consortium blockchain information system based on UBCCSP named UCBIS(Consortium Blockchain Information System based on UBCCSP)is proposed.In the Hyperledger Fabric transaction process,the identity information and transaction data are protected by the SM2 and SM3 algorithms,moreover,SM3 is also used in the construction process of smart contracts.Our smart contracts reduce the total data amount and improve query efficiency.Finally,the information query system based on UBCCSP is implemented.After being tested and analyzed,the average time for every query is only 31.162 ms in the blockchain system,which has better performance and higher query efficiency.展开更多
Electronic government(E-government)utilises information and communication techniques for delivering services to individuals.It is termed a complicated model that requires to be distributed,privacy-preserved and secure...Electronic government(E-government)utilises information and communication techniques for delivering services to individuals.It is termed a complicated model that requires to be distributed,privacy-preserved and secured.The failure of these can lead to economic and social loss.The blockchain method facilitates the execution of a secured and privacy-preserved model wherein transactions are done securely.This paper presents a privacy-protected model for sharing of data in an e-governance system considering consortium blockchain.The proposed privacy-protected model involves eight different phases,namely initialisation,new node creation,delegates and witnesses voting,user registration,authentication,data protection,validation and data shar-ing.This method helps to facilitate the security of information and privacy and concurrently increases trust in the public sector.The proposed privacy-protected model provided enhanced performance with a small computational time of 40.422s and memory usage of 38.800MB.展开更多
To achieve higher energy utilization and lower generation cost for renewable sources(e.g., wind and solar energy), much work has been focused on demand response in smart grid(SG). Nonetheless, most existing studies co...To achieve higher energy utilization and lower generation cost for renewable sources(e.g., wind and solar energy), much work has been focused on demand response in smart grid(SG). Nonetheless, most existing studies consider energy trading with utility company which results in high energy loss from high voltage to low voltage and privacy leakage. Besides, there are relatively few researches devoted to electricity scheduling and price optimum among households without a third party. To cope with these issues, a novel deep deterministic policy gradient(DDPG)-based energy trading method with consortium blockchain(DETCB) is introduced. Firstly, in order to enhance system security, executing energy transaction among households is on the basis of consortium blockchain, which leads to not only anonymous trade but also public account. Moreover, the primary target from the aspect of the system is apparently the maximal social welfare, thus exploiting an iterative decision-making method combined with DDPG algorithm by non-profit controllers to obtain optimal trading prices and carry out optimal electricity allocation. To this end, security analysis demonstrates that DETCB contributes to creating a secure, stable and trustful environment. Furthermore, the excellent performance concerning social welfare, algorithm efficiency, and transaction energy sum is shown by numerical results.展开更多
A redactable blockchain allows authorized individuals to remove or replace undesirable content,offering the ability to remove illegal or unwanted information.Access control is a mechanism that limits data visibility a...A redactable blockchain allows authorized individuals to remove or replace undesirable content,offering the ability to remove illegal or unwanted information.Access control is a mechanism that limits data visibility and ensures that only authorized users can decrypt and access encrypted information,playing a crucial role in addressing privacy concerns and securing the data stored on a blockchain.Redactability and access control are both essential components when implementing a regulated consortium blockchain in real-world situations to ensure the secure sharing of data while removing undesirable content.We propose a decentralized consortium blockchain system prototype that supports redactability and access control.Through the development of a prototype blockchain system,we investigate the feasibility of combining these approaches and demonstrate that it is possible to implement a redactable blockchain with access control in a consortium blockchain setting.展开更多
In current medical data sharing practices,the tension between data privacy protection and cross-institutional collaboration efficiency has become increasingly prominent.To address existing security challenges in healt...In current medical data sharing practices,the tension between data privacy protection and cross-institutional collaboration efficiency has become increasingly prominent.To address existing security challenges in healthcare data sharing,we propose a collaborative data cooperation model based on blockchain and federated learning,Through federated learning technology,data is made“usable but not visible”by enabling medical institutions to share only encrypted model parameters,thereby preventing the leakage of raw data.Meanwhile,blockchain technology is introduced to establish a decentralized trust mechanism,utilizing smart contracts to automate data access management and track training processes.In addition,the dual security protection strategy is designed,where differential privacy and Paillier homomorphic encryption technology are adopted to resist member reasoning attacks and ensure secure storage and sharing of information.Through security analysis and experimental validation,the scheme has been proven to have good security and usability.展开更多
基金supported by the National Key Research and Development Program of China (2022YFC3302300)National Natural Science Foundation of China under Grant (No.61873309,No.92046024,No.92146002)Shanghai Science and Technology Project under Grant (No.22510761000)。
文摘Blockchain technologies have been used to facilitate Web 3.0 and FinTech applications.However,conventional blockchain technologies suffer from long transaction delays and low transaction success rates in some Web 3.0 and FinTech applications such as Supply Chain Finance(SCF).Blockchain sharding has been proposed to improve blockchain performance.However,the existing sharding methods either use a static sharding strategy,which lacks the adaptability for the dynamic SCF environment,or are designed for public chains,which are not applicable to consortium blockchain-based SCF.To address these issues,we propose an adaptive consortium blockchain sharding framework named ACSarF,which is based on the deep reinforcement learning algorithm.The proposed framework can improve consortium blockchain sharding to effectively reduce transaction delay and adaptively adjust the sharding and blockout strategies to increase the transaction success rate in a dynamic SCF environment.Furthermore,we propose to use a consistent hash algorithm in the ACSarF framework to ensure transaction load balancing in the adaptive sharding system to further improve the performance of blockchain sharding in dynamic SCF scenarios.To evaluate the proposed framework,we conducted extensive experiments in a typical SCF scenario.The obtained experimental results show that the ACSarF framework achieves a more than 60%improvement in user experience compared to other state-of-the-art blockchain systems.
基金sponsored by National Natural Science Foundation of China(No.61571049).
文摘Traceability and trustiness are two critical issues in the logistics sector.Blockchain provides a potential way for logistics tracking systems due to its traits of tamper resistance.However,it is non-trivial to apply blockchain on logistics because of firstly,the binding relationship between virtue data and physical location cannot be guaranteed so that frauds may exist.Secondly,it is neither practical to upload complete data on the blockchain due to the limited storage resources nor convincing to trust the digest of the data.This paper proposes a traceable and trustable consortium blockchain for logistics T^(2)L to provide an efficient solution to the mentioned problems.Specifically,the authenticated geocoding data from telecom operators’base stations are adopted to ensure the location credibility of the data before being uploaded to the blockchain for the purpose of reliable traceability of the logistics.Moreover,we propose a scheme based on Zero Knowledge Proof of Retrievability(ZK BLS-PoR)to ensure the trustiness of the data digest and the proofs to the blockchain.Any user in the system can check the data completeness by verifying the proofs instead of downloading and examining the whole data based on the proposed ZK BLS-PoR scheme,which can provide solid theoretical verification.In all,the proposed T^(2)L framework is a traceable and trustable logistics system with a high level of security.
基金supported by the National Natural Science Foundation of China under Grant No.62472077.
文摘As consortium blockchains scale and complexity grow,scalability presents a critical bottleneck hindering broader adoption.This paper meticulously extracted 150 primary references from IEEE Xplore,Web of Science,Google Scholar,and other reputable databases and websites,providing a comprehensive and structured overview of consortium blockchain scalability research.We propose a scalability framework that combines a four-layer architectural model with a four-dimensional cost model to analyze scalability trade-offs.Applying this framework,we conduct a comprehensive reviewof scaling approaches and reveal the inherent costs they introduce.Furthermore,wemap the artificial intelligence(AI)-enabled methods to the scaling approaches and analyze their effectiveness in enhancing scalability and mitigating these inherent costs.Based on this analysis,we identify the root causes of the remaining costs unresolved by AI and the new trade-offs introduced by AI integration,and propose promising research opportunities for AI-enabled consortium blockchain scalability,guiding future work toward more adaptive,intelligent,and cost-efficient consortium blockchain systems.
基金Supported by the National Natural Science Foundation of China(61672297)。
文摘As one of the underlying technologies of the blockchain,the consensus algorithm plays a vital role in ensuring security and efficiency.As a consensus algorithm for the private blockchain,Raft has better performance than the rest of the consensus algorithms,and it does not cause problems such as the concentrated hashing power,resource waste and fork.However,Raft can only be used in a non-byzantine environment with a small network size.In order to enable Raft to be used in a large-scale network with a certain number of byzantine nodes,this paper combines Raft and credit model to propose a Raft blockchain consensus algorithm based on credit model CRaft.In the node credit evaluation phase,RBF-based support vector machine is used as the anomaly detection method,and the node credit evaluation model is constructed.Then the Trust Nodes List(TNL)mechanism is introduced to make the consensus phase in a creditable network environment.Finally,the common node is synchronized to the consensus node to update the blockchain of the entire network.Experiments show that CRaft has better throughput and lower latency than the commonly used consortium blockchain consensus algorithm PBFT(Practical Byzantine Fault Tolerance).
基金The research was funded by the School of Information Technology and Engineering,Vellore Institute of Technology,Vellore 632014,Tamil Nadu,India.
文摘In crowded cities,searching for the availability of parking lots is a herculean task as it results in the wastage of drivers’time,increases air pollution,and traffic congestion.Smart parking systems facilitate the drivers to determine the information about the parking lot in real time and book them depending on the requirement.But the existing smart parking systems necessitate the drivers to reveal their sensitive information that includes their mobile number,personal identity,and desired destination.This disclosure of sensitive information makes the existing centralized smart parking systems more vulnerable to service providers’security breaches,single points of failure,and bottlenecks.In this paper,an Improved Asymmetric Consortium Blockchain and Homomorphically Computing Univariate Polynomial-based private information retrieval(IACB-HCUPPIR)scheme is proposed to ensure parking lots’availability with transparency security in a privacy-preserving smart parking system.In specific,an improved Asymmetric Consortium Blockchain is used for achieving secure transactions between different parties interacting in the smart parking environment.It further adopted the method of Homomorphically Computing Univariate Polynomial-based private information retrieval(HCUPPIR)scheme for preserving the location privacy of drivers.The results of IACB-HCUPPIR confirmed better results in terms of minimized computation and communication overload with throughput,latency,and response time with maximized drivers’privacy preservation.Moreover,the proposed fully homomorphic algorithm(FHE)was compared against partial-homomorphic encryption(PHE)and technique without encryption and found that the proposed model has quick communication in allocating the parking slots starting with 24.3 s,whereas PHE starts allocating from 24.7 s and the technique without encryption starts at 27.4 s.Thus,we ensure the proposed model performs well in allocating parking slots with less time and high security with privacy preservation.
基金funded by the National Natural Science Foundation(61962009)the National Natural Science Foundation(62202118)+1 种基金Top Technology Talent Project from Guizhou Education Department(Qianjiao ji[2022]073)Foundation of Guangxi Key Laboratory of Cryptography and Information Security(GCIS202118).
文摘The data in Mobile Edge Computing(MEC)contains tremendousmarket value,and data sharing canmaximize the usefulness of the data.However,certain data is quite sensitive,and sharing it directly may violate privacy.Vertical Federated Learning(VFL)is a secure distributed machine learning framework that completes joint model training by passing encryptedmodel parameters rather than raw data,so there is no data privacy leakage during the training process.Therefore,the VFL can build a bridge between data demander and owner to realize data sharing while protecting data privacy.Typically,the VFL requires a third party for key distribution and decryption of training results.In this article,we employ the consortium blockchain instead of the traditional third party and design a VFL architecture based on the consortium blockchain for data sharing in MEC.More specifically,we propose a V-Raft consensus algorithm based on Verifiable Random Functions(VRFs),which is a variant of the Raft.The VRaft is able to elect leader quickly and stably to assist data demander and owner to complete data sharing by VFL.Moreover,we apply secret sharing todistribute the private key to avoid the situationwhere the training result cannot be decrypted if the leader crashes.Finally,we analyzed the performance of the V-Raft and carried out simulation experiments,and the results show that compared with Raft,the V-Raft has higher efficiency and better scalability.
基金supported by the National Natural Science Foundation of China under Grant No.71872020 and No.71402008the Corporate Finance and Innovation Development Research Center in BUPT
文摘This paper focuses on how to use consortium blockchain to improve the regulation of peer-to-peer(P2 P) lending market. The partial decentralized consortium blockchain with limited pre-set nodes can well improve transparency and security, which is suitable for financial regulation. Considering irregularities of the P2P lending market, the Hyperledger-based Peer-to-Peer Lending System(HyperP2PLS) is proposed. First elaborate the application scenario and business logic of the system, where a national P2P Lending Trading Center will be established to integrate all transactions and information of P2P lending market. Then construct the system architecture consisting of the blockchain network, HTTP server, and applications. The algorithm of implementation process and the web application for users have been well illustrated. The performance analysis shows that HyperP2PLS can guarantee the reliability, safety, transparency and efficiency.
基金This research is supported by the Science and Technology Project of State Grid Corporation of China(SAP No.52110417000G).
文摘Charging piles are used for charging electric vehicles and are directly accessible to users in an energy internet entrance,while playing an important role in energy consumption.Currently,each enterprise constructs the center of operation and maintenance of their systems independently,along with their respective APP payment programs.This results in high operating costs,poor user experience,and low utilization rate of the pile,which limits the promotion and popularization of electric vehicles.To overcome this limitation,there is a need for a multi-center,fair,and transparent consortium blockchain,which can conform to the application requirements of a unified payment system and accommodate a range of diverse enterprise charging piles.In this paper,the design for a consensus and incentive program for consortium blockchain is presented.First,the application status of blockchain in an energy internet is described.Then,the logical structure and hierarchical model of the consortium blockchain are analyzed.Next,multicycle accounting and limiting the amount of accounting nodes in each round is presented to ensure the overhead of consensus remain constant.Finally,the accounting incentive mechanism and the bidding encouragement strategy based on“electric beans”are designed.
基金supported by the National Natural Science Foundation of China (Nos.62172051,61772085,and 61877005)Jiangsu Agriculture Science and Technology Innovation Fund (No.CX (18)3054).
文摘As the smart grid develops rapidly,abundant connected devices offer various trading data.This raises higher requirements for secure and effective data storage.Traditional centralized data management does not meet the above requirements.Currently,smart grid with conventional consortium blockchain can solve the above issues.However,in the face of a large number of nodes,existing consensus algorithms often perform poorly in terms of efficiency and throughput.In this paper,we propose a trust-based hierarchical consensus mechanism(THCM)to solve this problem.Firstly,we design a hierarchical mechanism to improve the efficiency and throughput.Then,intra-layer nodes use an improved Raft consensus algorithm and inter-layer nodes use the Byzantine Fault Tolerance algorithm.Thirdly,we propose a trust evaluation method to improve the election process of Raft.Finally,we implement a prototype system to evaluate the performance of THCM.The results demonstrate that the consensus efficiency is improved by 19.8%,the throughput is improved by 12.34%,and the storage is reduced by 37.9%.
基金Beijing Natural Science Foundation(M21037)2022 Industrial Internet Public Service Platform-Industrial Internet Oriented Virtual Currency Mining Governance Public Service Platform Project by the Ministry of Industry and Information Technology of PRC(TC220H054)Major Research and Application Project for the Supervision Platform of Virtual Currency Mining Behavior by the Ministry of Education of PRC,the 111 Project(B21049).
文摘Learning archives management in traditional systems faces challenges such as inadequate security,weak tamper resistance,and limited sharing capabilities.To address these issues,this paper proposes LRChain,a method based on consortium blockchain,for lifelong learning archives data protection and sharing.LRChain employs a combination of on-chain and off-chain cooperative storage using a consortium chain and inter planetary file system(IPFS)to enhance data security and availability.It also enables fine-grained verification of learning archives through selective disclosure principles,ensuring privacy protection of sensitive data.Furthermore,an attributebased encryption(ABE)algorithm is utilized to establish authorized access control for learning archives,facilitating safe and trusted sharing.Experimental evaluations and security analyses demonstrate that this method exhibits decentralization,strong security,tamper resistance,and performs well,effectively meeting the requirements for secure sharing of learning archive data.
基金This work was supported by the“Electronic Information Engineering”and“Information Security”national first-class undergraduate major construction project.Advanced discipline construction project in Beijing(No.3201023).
文摘Blockchain technologies have been applied in many areas,from economics,the internet of things to the industrial internet.In order to solve the issue that the Hyperledger Fabric does not currently support Chinese Commercial Cryptographic(CCC)algorithms,we extended the Blockchain Cryptographic Service Provider(BCCSP)module in the Hyperledger Fabric by upgrading the original BCCSP module to support the CCC algorithms SM2 and SM3.Furthermore,we designed a transaction process by using UBCCSP(Upgraded BCCSP),and a new smart contract also has been presented.After that,an improved consortium blockchain information system based on UBCCSP named UCBIS(Consortium Blockchain Information System based on UBCCSP)is proposed.In the Hyperledger Fabric transaction process,the identity information and transaction data are protected by the SM2 and SM3 algorithms,moreover,SM3 is also used in the construction process of smart contracts.Our smart contracts reduce the total data amount and improve query efficiency.Finally,the information query system based on UBCCSP is implemented.After being tested and analyzed,the average time for every query is only 31.162 ms in the blockchain system,which has better performance and higher query efficiency.
文摘Electronic government(E-government)utilises information and communication techniques for delivering services to individuals.It is termed a complicated model that requires to be distributed,privacy-preserved and secured.The failure of these can lead to economic and social loss.The blockchain method facilitates the execution of a secured and privacy-preserved model wherein transactions are done securely.This paper presents a privacy-protected model for sharing of data in an e-governance system considering consortium blockchain.The proposed privacy-protected model involves eight different phases,namely initialisation,new node creation,delegates and witnesses voting,user registration,authentication,data protection,validation and data shar-ing.This method helps to facilitate the security of information and privacy and concurrently increases trust in the public sector.The proposed privacy-protected model provided enhanced performance with a small computational time of 40.422s and memory usage of 38.800MB.
文摘To achieve higher energy utilization and lower generation cost for renewable sources(e.g., wind and solar energy), much work has been focused on demand response in smart grid(SG). Nonetheless, most existing studies consider energy trading with utility company which results in high energy loss from high voltage to low voltage and privacy leakage. Besides, there are relatively few researches devoted to electricity scheduling and price optimum among households without a third party. To cope with these issues, a novel deep deterministic policy gradient(DDPG)-based energy trading method with consortium blockchain(DETCB) is introduced. Firstly, in order to enhance system security, executing energy transaction among households is on the basis of consortium blockchain, which leads to not only anonymous trade but also public account. Moreover, the primary target from the aspect of the system is apparently the maximal social welfare, thus exploiting an iterative decision-making method combined with DDPG algorithm by non-profit controllers to obtain optimal trading prices and carry out optimal electricity allocation. To this end, security analysis demonstrates that DETCB contributes to creating a secure, stable and trustful environment. Furthermore, the excellent performance concerning social welfare, algorithm efficiency, and transaction energy sum is shown by numerical results.
基金supported by the National Key Research and Development Program of China(2020YFB1005900)。
文摘A redactable blockchain allows authorized individuals to remove or replace undesirable content,offering the ability to remove illegal or unwanted information.Access control is a mechanism that limits data visibility and ensures that only authorized users can decrypt and access encrypted information,playing a crucial role in addressing privacy concerns and securing the data stored on a blockchain.Redactability and access control are both essential components when implementing a regulated consortium blockchain in real-world situations to ensure the secure sharing of data while removing undesirable content.We propose a decentralized consortium blockchain system prototype that supports redactability and access control.Through the development of a prototype blockchain system,we investigate the feasibility of combining these approaches and demonstrate that it is possible to implement a redactable blockchain with access control in a consortium blockchain setting.
文摘In current medical data sharing practices,the tension between data privacy protection and cross-institutional collaboration efficiency has become increasingly prominent.To address existing security challenges in healthcare data sharing,we propose a collaborative data cooperation model based on blockchain and federated learning,Through federated learning technology,data is made“usable but not visible”by enabling medical institutions to share only encrypted model parameters,thereby preventing the leakage of raw data.Meanwhile,blockchain technology is introduced to establish a decentralized trust mechanism,utilizing smart contracts to automate data access management and track training processes.In addition,the dual security protection strategy is designed,where differential privacy and Paillier homomorphic encryption technology are adopted to resist member reasoning attacks and ensure secure storage and sharing of information.Through security analysis and experimental validation,the scheme has been proven to have good security and usability.
