【Author】 Xu, Yang Liu, Ziming Zhang, Cheng Ren, Ju Zhang, Yaoxue Shen, Xuemin

【Source】IEEE INTERNET OF THINGS JOURNAL CCF-C

【影响因子】10.238

【主题类别】

区块链应用-实体经济-能源领域

【Abstract】Renewable energy sources (RES) and low-carbon technology users play a vital role in modern power systems. However, RES generation is easily affected by the environment. Meanwhile, the load, such as electric vehicles (EVs) and prosumers, accounts for most low-carbon technology users. Their power is usually superimposed on peak loads without dispatching, which also exacerbates the instability of the power system. Current optimal dispatching mechanisms mainly rely on centralized organizations, while their dispatching process is not open and transparent. In this article, we propose a blockchain-based trustworthy dispatching approach for the distribution network in high renewable energy penetrated power systems. We first develop an optimal dispatching model considering EVs' charging behavior and the prosumers' economic benefits. With the model, prosumers can be dispatched to balance power and consume renewable energy, reducing the impact of disorderly charging on the grid and the abandonment of RES generation. An orderly charging iteration optimization (OCIO) algorithm is proposed to implement orderly EV charging while considering the charging cost and the period. We also propose a modified particle swarm optimization (mPSO) algorithm to publish dispatching tasks based on real-time power balance. Furthermore, blockchain is applied as an open and transparent ledger to record each entity's power generation and consumption information, ensuring that the dispatching process is trustworthy. Finally, the effectiveness of the dispatching approach is verified in the modified IEEE 33-bus test system and Ethereum-based smart contracts.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Dispatching; Blockchains; Power system stability; Renewable energy sources; Distribution networks; Costs; Stability analysis; Blockchain; electric vehicle (EV); optimal dispatching; prosumer; renewable energy power generation

【发表时间】2022

【收录时间】2022-07-22

【文献类型】 理论性文章

【DOI】 10.1109/JIOT.2021.3117924

【Author】 Khayyat, Manal M. Khayyat, Mashael M. Abdel-Khalek, S. Mansour, Romany F.

【Source】ALEXANDRIA ENGINEERING JOURNAL

【影响因子】6.626

【主题类别】

区块链技术-协同技术-物联网

【Abstract】Industrial Internet of Things (IIoT) denotes a network of interlinked sensors, instruments, and other devices for industrial applications in the domains of manufacturing, logistics, transportation, etc. IIoT security is a major crucial research area for several applications. Image encryption techniques gained popularity in the recent years, thanks to increasing requirements for secure image transmission in IIoT environments. At the same time, conventional security solutions built for sensitive data protection are getting outdated in IIoT environment due to the participation of third party. Blockchain (BC) is one of the recent solutions used for security purpose which eliminates the involvement of a third party. With this motivation, the current research article presents a new BC-Enabled Shark Smell Optimization with Hopfield Chaotic Neural Network (SSO-HCNN) for secure encryption in IoT environment. The proposed SSO-HCNN model exploits a composite Chaotic Map (CM) which is integrated into staged logistic and tent maps to initially process the images and develop the variables needed for Arnold mapping. In addition, the SSO algorithm is developed with maximum PSNR and coefficient fitness function to select the optimum secret and public keys of the system amongst the random numbers. Besides, the diffusion phase utilizes HCNN to create a self-diffusion chaotic matrix whereas the jumbled image performs XOR operation using the keys to obtain the cipher image. In SSO-HCNN model, the cryptographic pixel value in the image is saved on BC thus guaranteeing the security and privacy of the images. To examine the superior performance of SSO-HCNN model over state-of-the-art methods, a set of

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Internet of Things; Shark smell optimization; Self diffusion; Chaotic Neural; Hopfield Chaotic Neural; Network

【发表时间】2022

【收录时间】2022-07-22

【文献类型】 理论性文章

【DOI】 10.1016/j.aej.2022.05.0021110-0168

【Author】 Yang, Runkai Chang, Xiaolin Misic, Jelena Misic, Vojislav B. Kang, Hongyue

【Source】IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT CCF-C

【影响因子】4.758

【主题类别】

区块链治理-技术治理-挖矿检测

【Abstract】The longest-chain and Greedy Heaviest Observed Subtree (GHOST) protocols are the two most famous chain-selection protocols to address forking in Proof-of-Work (PoW) blockchain systems. Inclusive protocol was proposed to lower the loss of miners who produce stale blocks and increase the blockchain throughput. This paper aims to make an analytical-model-based quantitative comparison of their capabilities against selfish mining attack. Analytical models have been developed for the longest-chain protocol but less to the GHOST protocol. However, the blockchain dynamics and evolution are different when adopting different chain-selection protocols. Therefore, the corresponding analytical models and/or the formulas of calculating metrics (such as miner profitability and system throughput) may be different. To address these challenges, this paper first develops a novel Markov model and the formulas of evaluation metrics, in order to analyze a GHOST-based blockchain system under selfish mining attack. Then extensive experiments are conducted for comparison and we observe that: (i) The GHOST protocol is more resistant to selfish mining attack than the longest-chain protocol from the aspect of relative revenue of selfish miners. (ii) Inclusive protocol can promote the security (evaluated in terms of miner profitability) improvement of the system which has little total computational power or a high forking probability. Additionally, the longest-chain protocol is more sensitive to inclusive protocol than GHOST protocol. (iii) It is hard for each of the two common-used difficulty adjustment algorithms to achieve higher system throughput and security.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Protocols; Blockchains; Throughput; Analytical models; Security; Measurement; Profitability; Analytical model; blockchain; GHOST protocol; inclusive protocol; proof of work; selfish mining

【发表时间】2022

【收录时间】2022-07-22

【文献类型】 实证性文章

【DOI】 10.1109/TNSM.2022.3151083

【Author】 Choumas, Kostas Korakis, Thanasis

【Source】IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT CCF-C

【影响因子】4.758

【主题类别】

区块链技术-核心技术-共识机制

【Abstract】Raft is a state-of-the-art consensus algorithm for state replication over a distributed system of nodes. According to Raft, all state updates occurring anywhere in the system are forwarded to the leader, which is elected among the system nodes to collect and replicate these updates to all other nodes. Thus, the time required for the state replication, named as system response time, depends on the delays between the leader and all other nodes. After multiple node failures and leadership transitions, each node can be leader with a probability that affects the expected response time. The leadership probabilities, in turn, are affected by the random intervals that nodes are waiting, after detecting a leader failure and before competing for the successive leadership. The Raft designers suggest the ranges of these intervals to be equal for all nodes. However, this may result in increased expected response time. In this paper, mathematical models are presented for estimating the ranges resulting in the desired leadership probabilities. The presented theoretical results are also confirmed by testbed experimentation with an open-source and widely used Raft implementation.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Voting; Time factors; Leadership; Delays; Heart beat; Protocols; Open source software; Raft; distributed-system; clustering; testbed-experimentation

【发表时间】2022

【收录时间】2022-07-22

【文献类型】 实证性文章

【DOI】 10.1109/TNSM.2022.3147958

【Author】 Chen, Yanjiao Ran, Yuyang Zhou, Jingyue Zhang, Jian Gong, Xueluan

【Source】IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT CCF-C

【影响因子】4.758

【主题类别】

区块链应用-虚拟经济-金融领域

【Abstract】Blockchain-based cryptocurrencies are severely limited in transaction throughput and latency due to the need to seek consensus among all peers of the network. A promising solution to this issue is payment channels, which allow unlimited numbers of atomic and trust-free payments between two peers without exhausting the resources of the blockchain. A linked payment channel network enables payments between two peers without direct channels through a series of intermediate nodes that forward and charge for the transactions. However, the charging strategies of intermediate nodes vary with different payment channel networks. Existing works do not yet have a complete routing algorithm to provide the most economical path for users in a multi-charge payment channel network. In this work, we propose MPCN-RP, a general routing protocol for payment channel networks with multiple charges. Our extensive experimental results on both simulated and real payment channel networks show that MPCN-RP significantly outperforms the baseline algorithms in terms of time and fees.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Peer-to-peer computing; Routing; Bitcoin; Blockchains; Lightning; Costs; Throughput; Blockchain; payment channel network; routing

【发表时间】2022

【收录时间】2022-07-22

【文献类型】 理论性文章

【DOI】 10.1109/TNSM.2021.3139019

【Author】 Rajadevi, R. Venkatachalam, K. Masud, Mehedi AlZain, Mohammed A. Abouhawwash, Mohamed

【Source】COMPUTER SYSTEMS SCIENCE AND ENGINEERING

【影响因子】4.397

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】The Internet of Medical Things (IoMT) is an online device that senses and transmits medical data from users to physicians within a time interval. In, recent years, IoMT has rapidly grown in the medical field to provide healthcare services without physical appearance. With the use of sensors, IoMT applications are used in healthcare management. In such applications, one of the most important factors is data security, given that its transmission over the network may cause obtrusion. For data security in IoMT systems, blockchain is used due to its numerous blocks for secure data storage. In this study, Blockchain-assisted secure data management framework (BSDMF) and Proof of Activity (PoA) protocol using malicious code detection algorithm is used in the proposed data security for the healthcare system. The main aim is to enhance the data security over the networks. The PoA protocol enhances high security of data from the literature review. By replacing the malicious node from the block, the PoA can provide high security for medical data in the blockchain. Comparison with existing systems shows that the proposed simulation with B SD-Malicious code detection algorithm achieves higher accuracy ratio, precision ratio, security, and efficiency and less response time for Blockchain-enabled healthcare systems.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; IoMT; malicious code detection; security; secure data management framework; data management; PoA

【发表时间】2023

【收录时间】2022-07-22

【文献类型】 理论性文章

【DOI】 10.32604/csse.2023.024537

【Author】 Palanikkumar, D. Alrasheedi, Adel Fahad Parthasarathi, P. Askar, S. S. Abouhawwash, Mohamed

【Source】COMPUTER SYSTEMS SCIENCE AND ENGINEERING

【影响因子】4.397

【主题类别】

区块链技术-核心技术-智能合约

【Abstract】Data management becomes essential component of patient healthcare. Internet of Medical Things (IoMT) performs a wireless communication between E-medical applications and human being. Instead of consulting a doctor in the hospital, patients get health related information remotely from the physician. The main issues in the E-Medical application are lack of safety, security and privacy preservation of patient's health care data. To overcome these issues, this work proposes block chain based IoMT Processed with Hybrid consensus protocol for secured storage. Patients health data is collected from physician, smart devices etc. The main goal is to store this highly valuable health related data in a secure, safety, easy access and less cost-effective manner. In this research we combine two smart contracts such as Practical Byzantine Fault Tolerance with proof of work (PBFT-PoW). The implementation is done using cloud technology setup with smart contracts (PBFT-PoW). The accuracy rate of PBFT is 90.15%, for PoW is 92.75% and our proposed work PBFT-PoW is 99.88%.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】PoW; byzantine fault tolerance; IoMT; cloud computing; health care data

【发表时间】2023

【收录时间】2022-07-22

【文献类型】 理论性文章

【DOI】 10.32604/csse.2023.024884

【Author】 Karthika, R. N. Valliyammai, C. Naveena, M.

【Source】COMPUTER SYSTEMS SCIENCE AND ENGINEERING

【影响因子】4.397

【主题类别】

区块链治理-技术治理-异常/非法交易识别

【Abstract】The data in the cloud is protected by various mechanisms to ensure security aspects and user???s privacy. But, deceptive attacks like phishing might obtain the user???s data and use it for malicious purposes. In Spite of much technological advancement, phishing acts as the first step in a series of attacks. With technological advancements, availability and access to the phishing kits has improved drastically, thus making it an ideal tool for the hackers to execute the attacks. The phishing cases indicate use of foreign characters to disguise the original Uniform Resource Locator (URL), typosquatting the popular domain names, using reserved characters for re directions and multi-chain phishing. Such phishing URLs can be stored as a part of the document and uploaded in the cloud, providing a nudge to hackers in cloud storage. The cloud servers are becoming the trusted tool for executing these attacks. The prevailing software for blacklisting phishing URLs lacks the security for multi-level phishing and expects security from the client???s end (browser). At the same time, the avalanche effect and immutability of block-chain proves to be a strong source of security. Considering these trends in technology, a block-chain based filtering implementation for preserving the integrity of user data stored in the cloud is proposed. The proposed Phish Block detects the homographic phishing URLs with accuracy of 91% which assures the security in cloud storage.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Cloud server; phishing URLs; phish detection blockchain; safe files; smart contract

【发表时间】2023

【收录时间】2022-07-22

【文献类型】 理论性文章

【DOI】 10.32604/csse.2023.024086

【Author】 Silvestru, Catalin-Ionut Firulescu, Alexandru-Cristian Iordoc, Dumitru-Georgian Icociu, Vasilica-Cristina Stoica, Mihai-Alexandru Platon, Otilia-Elena Orzan, Anca-Olguta

【Source】SUSTAINABILITY

【影响因子】3.889

【主题类别】

区块链应用-实体经济-教育领域

【Abstract】The evolution of technology brings closer the endless possibilities of education, allowing a human to learn something new anywhere and anytime. With the crisis created by the pandemic situation for the last two years, new ways of education have taken form to maintain the flow of learning and qualification; thus, the term "distance learning" has been implemented in all types of learning, from primary education all the way to tertiary education. This paper covers the image of tertiary education, mostly at the level of universities. Many changes took form at this level, such as developing new ways for the distance learning implementation by creating new programs dedicated for this new method of education. We will present to you how these changes took form and how they can evolve with the help of various technologies such as Blockchain and XR, and other strategic learning methods such as Massive Open Online Courses (MOOCs) and gamification. Universities start to create new programs based on their unique crypto coin, which help students pay for their studies, such as articles, new disciplines, and exchange programs. The gamification of these programs raises the interactivity that students have during class hours, thus motivating them and creating an optimal curve of learning, combined with the implementation of XR technology.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】blockchain; cryptocurrency; education; MOOCs; gamification; tertiary education

【发表时间】2022

【收录时间】2022-07-22

【文献类型】 理论性文章

【DOI】 10.3390/su14116408

【Author】 Wei, Hongtao Tang, Lei Wang, Wenshuo Zhang, Jiaming

【Source】SENSORS

【影响因子】3.847

【主题类别】

区块链应用-虚拟经济-元宇宙

【Abstract】With the popularization of the concept of "metaverse", Augmented Reality (AR) technology is slowly being applied to people's daily life as its underlying technology support. In recent years, rapid 3D reconstruction of interior furniture to meet AR shopping needs has become a new method. In this paper, a virtual home environment system is designed and the related core technologies in the system are studied. Background removal and instance segmentation are performed for furniture images containing complex backgrounds, and a Bayesian Classifier and GrabCut (BCGC) algorithm is proposed to improve on the traditional foreground background separation technique. The reconstruction part takes the classical occupancy network reconstruction algorithm as the network basis and proposes a precise occupancy network (PONet) algorithm, which can reconstruct the structural details of furniture images, and the model accuracy is improved. Because the traditional 3D registration model is prone to the problems of model position shift and inaccurate matching with the scene, the AKAZE-based tracking registration algorithm is improved, and a Multiple Filtering-AKAZE (MF-AKAZE) based on AKAZE is proposed to remove the matching points. The matching accuracy is increased by improving the RANSAC filtering mis-matching algorithm based on further screening of the matching results. Finally, the system is verified to realize the function of the AR visualization furniture model, which can better complete the reconstruction as well as registration effect.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】3D reconstruction; instance segmentation; 3D registration; furniture objects

【发表时间】2022

【收录时间】2022-07-22

【文献类型】 理论性文章

【DOI】 10.3390/s22114020

【Author】 Farooq, Muhammad Shoaib Iftikhar, Usman Khelifi, Adel

【Source】IEEE ACCESS

【影响因子】3.476

【主题类别】

区块链应用-实体经济-公共管理

【Abstract】A widespread mistrust towards the traditional voting system has made democratic voting in any country very critical. People have seen their fundamental rights being violated. Other digital voting systems have been challenged due to a lack of transparency. Most voting systems are not transparent enough; this makes it very difficult for the government to gain voters' trust. The reason behind the failure of the traditional and current digital voting system is that it can be easily exploited. The primary objective is to resolve problems of the traditional and digital voting system, which include any kind of mishap or injustice during the process of voting. Blockchain technology can be used in the voting system to have a fair election and reduce injustice. The physical voting systems have many flaws in it as well as the digital voting systems are not perfect enough to be implemented on large scale. This appraises the need for a solution to secure the democratic rights of the people. This article presents a platform based on modern technology blockchain that provides maximum transparency and reliability of the system to build a trustful relationship between voters and election authorities. The proposed platform provides a framework that can be implemented to conduct voting activity digitally through blockchain without involving any physical polling stations. Our proposed framework supports a scalable blockchain, by using flexible consensus algorithms. The Chain Security Algorithm applied in the voting system makes the voting transaction more secure. Smart contracts provide a secure connection between the user and the network while executing a transaction in the chain. The security of the blockchain based voting system has also been discussed. Additionally, encryption of transactions using cryptographic hash and prevention of attack 51% on the blockchain has also been elaborated. Furthermore, the methodology for carrying out blockchain transactions during the process of voting has been elaborated using Blockchain Finally, the performance evaluation of the proposed system shows that the system can be implemented in a large-scale population.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchains; Peer-to-peer computing; Consensus algorithm; Smart contracts; Licenses; Robustness; Privacy; E-polling; voting system; blockchain application; blockchain voting; E-voting; electoral system; blockchain; cryptographic hash; secure voting

【发表时间】2022

【收录时间】2022-07-22

【文献类型】 理论性文章

【DOI】 10.1109/ACCESS.2022.3180168

【Author】 Alamri, Bandar Crowley, Katie Richardson, Ita

【Source】IEEE ACCESS

【影响因子】3.476

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】Identity and Access Management (IAM) systems are crucial for any information system, such as healthcare information systems. Health IoT (HIoT) applications are targeted by attackers due to the high-volume and sensitivity of health data. Thus, IAM systems for HIoT need to be built with high standards and based on reliable frameworks. Blockchain (BC) is an emerging technology widely used for developing decentralized IAM solutions. Although, the integration of BC in HIoT for proposing IAM solutions has gained recent attention, BC is an evolving technology and needs to be studied carefully before using it for IAM solutions in HIoT applications. A systematic literature review was conducted on the BC-based IAM systems in HIoT applications to investigate the security aspect. Twenty-four studies that satisfied the inclusion criteria and passed the quality assessment were included in this review. We studied BC-based solutions in HIoT applications to explore the IAM system architecture, security requirements and threats. We summarized the main components and technologies in typical BC-based IAM systems and the layered architecture of the BC-based IAM system in HIoT. Accordingly, the security threats and requirements were summarized. Our systematic review shows that there is a lack of a comprehensive security framework, risk assessments, and security and functional performance evaluation metrics in BC-based IAM in HIoT applications.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Security; Medical services; Systematics; Bitcoin; Internet of Things; Regulation; Cloud computing; Access control; blockchain; e-Health; health IoT; identity management; security; systematic literature review

【发表时间】2022

【收录时间】2022-07-22

【文献类型】 综述

【DOI】 10.1109/ACCESS.2022.3180367

【Author】 Surekha, Sala Rahman, Md Zia Ur

【Source】IEEE ACCESS

【影响因子】3.476

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】The incorporation of technology in healthcare and hospital management has given a new perception to the medical procedures, and drug management for patient-centric care. Emerging technologies like blockchain, Internet of Things, and cognitive computing are most adaptable for designing smart healthcare systems. However, due to the diversified tasks involved, a design approach with broader understanding involving multiple factors that represent each area of the healthcare is the need of the hour. Game theory has gained prominence in modeling multi-player problems designated by strategic interdependency. This paper proposes a non-cooperative game strategy between players (stakeholders) to inspect how rationality is exhibited among the players who seamlessly try to get benefitted from the actions of other players. To evaluate the feasibility of the proposed model, a prototype was designed based on Ethereum permissioned blockchain employing Raspberry pi IoT devices and sensor-based cognition. Use of blockchain brings in trust, security and transparency to the system. The simulation results show that the proposed model provides better outcomes in terms of latency (approximate to 15 min), throughput and scalability with an increased number of transactions. The comparative analysis elucidates the fact that the proposed method outperforms the existing healthcare systems with a significant improvement of 10-15% in terms of resource utilization and provides faster and accurate patient-centric services.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; cognitive sensors; game theory; healthcare; Internet of Things; security

【发表时间】2022

【收录时间】2022-07-22

【文献类型】 理论性文章

【DOI】 10.1109/ACCESS.2022.3180336

【Author】 Qiu, Xiaotian Yao, Dengfeng Kang, Xinchen Abulizi, Abudukelimu

【Source】COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE

【影响因子】3.120

【主题类别】

区块链技术-协同技术-边缘计算

【Abstract】The current development of blockchain, technically speaking, still faces many key problems such as efficiency and scalability issues, and any distributed system faces the problem of how to balance consistency, availability, and fault tolerance need to be solved urgently. The advantage of blockchain is decentralization, and the most important thing in a decentralized system is how to make nodes reach a consensus quickly. This research mainly discusses the blockchain and K-means algorithm for edge AI computing. The natural pan-central distributed trustworthiness of blockchain provides new ideas for designing the framework and paradigm of edge AI computing. In edge AI computing, multiple devices running AI algorithms are scattered across the edge network. When it comes to decentralized management, blockchain is the underlying technology of the Bitcoin system. Due to its characteristics of immutability, traceability, and consensus mechanism of transaction data storage, it has recently received extensive attention. Blockchain technology is essentially a public ledger. This is done by recording data related to trust management to this ledger. To collaboratively complete artificial intelligence computing tasks or jointly make intelligent group decisions, frequent communication is required between these devices. By integrating idle computing resources in an area, a distributed edge computing platform is formed. Users obtain benefits by sharing their computing resources, and nodes in need complete computing tasks through the shared platform. In view of the identity security problems faced in the sharing process, this article introduces blockchain technology to realize the trust between users. All participants must register a secure identity in the blockchain network and conduct transactions in this security system. A K-means algorithm suitable for edge environments is proposed to identify different degradation stages of equipment operation reflected by multiple types of data. Based on the prediction of the fault state for a single type of data, the algorithm uses the historical data of multiple types of data together with the prediction data to predict the fault stage. During the research process, the average optimization energy consumption of K-means algorithm is 14.6% lower than that of GA. On the basis of designing a resource allocation scheme based on blockchain, the problem of how the participants can realize reliable resource use according to the recorded data on the chain is studied. The article implements the verification of the legality of the use of blockchain resources. In addition, a control node is introduced to master the global real-time information of the network to provide data support for the user's choice.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2022-07-22

【文献类型】 理论性文章

【DOI】 10.1155/2022/1153208

【Author】 Sauce, Loic

【Source】CAMBRIDGE JOURNAL OF ECONOMICS

【影响因子】2.273

【主题类别】

区块链治理-法律治理-区块链监管制度

【Abstract】This paper investigates whether the application of the latest guidance of the Financial Action Task Force (FATF) for regulating cryptocurrencies may engender unintended consequences at odds with the initial purposes of transparency and technology neutrality. For instance, we will ask whether regulation strengthening may incite a category of investors to flight to unregulated and non-compliant decentralised exchange platforms to stay under the radar of regulators. Furthermore, we ask whether regulation may lead to a two-tier industry, fragmented between compliant trading venues that attract mainstream users and non-compliant trading venues that attract privacy-centric users. We argue that somewhat paradoxically, regulation may push part of the crypto-industry to the 'dark side' of financial innovation and drives privacy-centric investors out of the scope of regulators.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Cryptocurrencies; Decentralised trading; Decentralised finance; Regulation

【发表时间】2022

【收录时间】2022-07-22

【文献类型】 理论性文章

【DOI】 10.1093/cje/beab053