【Author】 Zhaolu, Tianyu Wan, Zhiguo Wang, Huaqun

【Source】IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY CCF-A

【影响因子】7.231

【主题类别】

区块链应用-实体经济-支付领域

【Abstract】Decentralized anonymous payment schemes may be exploited for illicit activities, such as money laundering, bribery and blackmail. To address this issue, several regulatory-friendly decentralized anonymous payment schemes have been proposed. However, most of these solutions lack restrictions on the regulator's authority, which could potentially result in power abuse and privacy breaches. In this paper, we present a decentralized anonymous payment scheme with collaborative regulation (DAPCR). Unlike existing solutions, DAPCR reduces the risk of power abuse by distributing regulatory authority to two entities: Filter and Supervisor, neither of which can decode transactions to access transaction privacy without the assistance of the other one. Our scheme enjoys three major advantages over others: 1) Universality, achieved by using zk-SNARK to extend privacy-preserving transactions for regulation. 2) Collaborative regulation, attained by adding the ring signature with controllable linkability to the transaction. 3) Efficient aggregation of payment amounts, achieved through amount tags. As a key technology for realizing collaborative regulation in DAPCR, the ring signature with controllable linkability (CLRS) is proposed, where a user needs to specify a linker and an opener to generate a signature. The linker can extract pseudonyms from signatures and link signatures submitted by the same signer based on pseudonyms, without leaking the signer's identity. The opener can recover the signer's identity from a given pseudonym. The experimental results reflect the efficiency of DAPCR. The time overhead for transaction generation is 1231.2ms, representing an increase of less than 50% compared to ZETH. Additionally, the time overhead for transaction verification is only 1.2ms.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Regulation; Filtering algorithms; Collaboration; Blockchains; Security; Regulators; Information filters; Ring signature; blockchain; cryptocurrency; regulation; decentralized finance

【发表时间】2024

【收录时间】2024-03-07

【文献类型】 实验仿真

【DOI】 10.1109/TIFS.2023.3348268

【Author】 Wei, Zeming Fang, Jiawen Hong, Zhicheng Zhou, Yu Ma, Shansi Zhang, Junlang Liang, Chufeng Zhao, Gansen Tang, Hua

【Source】APPLIED SCIENCES-BASEL

【影响因子】2.838

【主题类别】

区块链技术-协同技术-隐私保护

【Abstract】Blockchain is a distributed ledger technology that possesses characteristics such as decentralization, tamper resistance, and programmability. However, while blockchain ensures transaction openness and transparency, transaction privacy is also at risk of being exposed. Therefore, this paper proposes the blockchain transaction privacy protection method based on the stealth address and the note mechanism to address the privacy leakage risk in blockchain public environments. Firstly, the proposed method generates a random seed known only to the parties involved based on the Diffie-Hellman key exchange protocol, ensuring the privacy of transactions. Then, it utilizes the Note Commitments table to maintain the binding relationship between the stealth address and the corresponding note, enabling efficient transfer and verification of note ownership. The uniqueness of the stealth address is utilized as an invalidation identifier for notes in the Nullifier table, ensuring efficient verification of the correctness of note invalidation identifiers. Additionally, this method employs Pedersen commitment and Bulletproofs range proof to generate proof of the legality of transaction amounts, enabling the concealment of transaction amounts and facilitating private transactions between the parties involved. Finally, this paper presents a detailed performance analysis, implementation, and testing of the method. From the results, it can be concluded that the method proposed can effectively prevent fraudulent behavior by various transaction participants and ensure the security, privacy, and integrity of the transaction. Critical processes consume only milliseconds, and the related commitments and proofs are also minimal, which is crucial for controlling transaction costs. At the same time, this method achieves a completely decentralized privacy transaction solution.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】blockchain; privacy protection; transaction

【发表时间】2024

【收录时间】2024-03-07

【文献类型】 实验仿真

【DOI】 10.3390/app14041642

【Author】 Luo, Haotian Mei, Niansong Du, Chong

【Source】CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS

【影响因子】2.303

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】The blockchain-based Electronic Medical Record (EMR) data storage system encounters challenges which are data leakage, insufficient access control, and low retrieval efficiency. In response to these issues, this paper proposes a lightweight searchable encryption and access control system for sharing EMR data securely. The lightweight searchable encryption scheme which is achieved by integrating the trapdoor verification phase with the keyword retrieval phase is constructed using BGG13 + and MP12. User access control is implemented through a Boolean circuit to replace arithmetic operations and thus improve arithmetic efficiency. Since logic operations can reduce the computation time, this paper uses Boolean circuits for user rights verification implementation. In addition, this paper adopts the Bloom filter as the system index to enhance the efficiency of block-chain data retrieval. According to the simulation results, there is a performance advantage of this system over similar systems.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】EMR; Block-chain; Attribute-based encryption; Searchable encryption

【发表时间】2024

【收录时间】2024-03-07

【文献类型】 实验仿真

【DOI】 10.1007/s10586-024-04294-w

【Author】 Liao, Peng Liu, Chaoge Yin, Jie Wang, Zhi Cui, Xiang

【Source】CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES

【影响因子】2.027

【主题类别】

区块链应用-虚拟经济-NFT

【Abstract】Digital assets have boomed over the past few years with the emergence of Non-fungible Tokens (NFTs). To be specific, the total trading volume of digital assets reached an astounding $55.5 billion in 2022. Nevertheless, numerous security concerns have been raised by the rapid expansion of the NFT ecosystem. NFT holders are exposed to a plethora of scams and traps, putting their digital assets at risk of being lost. However, academic research on NFT security is scarce, and the security issues have aroused rare attention. In this study, the NFT ecological process is comprehensively explored. This process falls into five different stages encompassing the entire lifecycle of NFTs. Subsequently, the security issues regarding the respective stage are elaborated and analyzed in depth. A matrix model is proposed as a novel contribution to the categorization of NFT security issues. Diverse data are collected from social networks, the Ethereum blockchain, and NFT markets to substantiate our claims regarding the severity of security concerns in the NFT ecosystem. From this comprehensive dataset, nine key NFT security issues are identified from the matrix model and then subjected to qualitative and quantitative analysis. This study aims to shed light on the severity of NFT ecosystem security issues. The findings stress the need for increased attention and proactive measures to safeguard the NFT ecosystem.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Non-fungible token; blockchain; cyber security

【发表时间】2024

【收录时间】2024-03-07

【文献类型】 实证数据

【DOI】 10.32604/cmes.2024.043855

【Author】 Korkuc, Cagatay Korkmaz, Nilay Aytas Genc, Yasin Akkoc, Ahmet Afacan, Erkan Yazgan, Erdem

【Source】CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

【影响因子】1.831

【主题类别】

区块链应用-实体经济-航空航天

【Abstract】With the development of technology, data has become more accessible. The storage of critical and valuable information is getting harder and harder with the increase of cyber attacks and vulnerabilities of network and internet. The centralized storage of data causes security and privacy problems. As a remedy to these problems, blockchain has occurred. The reliability, transparency, integrity and confidentiality of the data have been increased with the blockchain technology. Blockchain maintains the immutability of the data with cryptographic hash algorithms. The data is kept in distributed structures with the consensus algorithms so that it is not lost. Projects and studies using blockchain technology have shown that data stored in centralized structures is not as reliable as data that is distributed and secured by cryptographic algorithms, smart contracts, and consensus. The data of flights, which is a critical data, has a great place in world transportation. The parameters inside the black boxes guide us on why the aircrafts have crashed: whether the responsibility belongs to the manufacturer, to the pilot, or to the aircraft technicians. In this way, the real reasons of the accident may be determined and measures can be taken for the accidents that may occur afterwards. In addition, the safe delivery of all black box data to the interested parties and its storage in a way that is immutable will not only benefit to the manufacturer's self-development by processing the data, but also help flight companies to find optimum flight data. Both the flight companies and the manufacturer will be able to read the black box data, thus the suspicion of data manipulation will be eliminated and the data will become more transparent. In this study, a system is proposed in which an aircraft's black box data can be saved safely and securely with the help of blockchain technology.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】black box; black box modeling; blockchain; hyperledger

【发表时间】2024

【收录时间】2024-03-07

【文献类型】 实验仿真

【DOI】 10.1002/cpe.8057

【Author】 Yang, XiaoHui Li, TianChang

【Source】CONNECTION SCIENCE CCF-C

【影响因子】0.000

【主题类别】

区块链技术-协同技术-联邦学习

【Abstract】Federated Learning (FL) has gained prominence as a machine learning framework incorporating privacy-preserving mechanisms. However, challenges such as poisoning attacks and free rider attacks underscore the need for advanced security measures. Therefore, this paper proposes a novel framework that integrates federated learning with blockchain technology to facilitate secure model aggregation and fair incentives in untrustworthy environments. The framework designs a reputation evaluation method using quality as an indicator, and a consensus method based on reputation feedback. The trustworthiness of nodes is dynamically assessed to achieve an efficient and trustworthy model aggregation process while avoiding reputation monopolisation. Furthermore, the paper defines a tailored contribution calculation process for nodes in different roles in an untrusted environment. A reward and punishment scheme based on the joint constraints of contribution and reputation is proposed to attract highly qualified workers to actively participate in federated learning tasks. Theoretical analysis and simulation experiments demonstrate the framework's ability to maintain efficient and secure aggregation under a certain degree of attack while achieving fair incentives for each role node with significantly reduced consensus consumption.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Federated learning; blockchain; reputation mechanism; consensus; poisoning attack

【发表时间】2024

【收录时间】2024-03-07

【文献类型】 实验仿真

【DOI】 10.1080/09540091.2024.2316018