Industrial Internet of Things (IIoT) is attempting to integrate the real world into the digital world through smart devices, information technology, and Internet. IIoT is connecting enormous devices in industry 4.0/5.0 which may be heterogeneous in nature. With the evolution of IoT, diverse technologies have been employed to deliver the quality of services to the end users in a seamless manner. Cloud computing has considerably boosted the growth of IIoT by serving the computational and data storage needs of IIoT- and blockchain-based applications in industry 4.0/5.0. However, cloud is providing services to IIoT users, but still, there is a need to improve the latency rate of delivery of services, the transmission rate of end-to-end delivery, and overall throughput of the network channels in industry 4.0 and blockchain-based distributed systems. The cloud servers those are located at remote locations are not capable to offer the quality of services to users who require real-time responses, minimum network latency, and optimum throughput. The advancements in Edge computing are making Edge-Cloud more suitable for end users in blockchain-based transactions and industry 4.0 to serve the requirements of IIoT-based applications. This paper aims at providing the resources of Edge-Cloud to the end users by proposing a soft-computing technique for selecting the most suitable resources from the pool of available resources at Edge-Cloud. This paper is proposing a multicriteria statistical approach for resource selection to exploit the benefits of Edge-Cloud and to suffice the needs of IIoT and blockchain-based applications in industry 4.0. The results obtained from the proposed research assist in enhancing the service providing rate, minimizing the delay in transmission, and optimizing the throughput of Edge-Cloud servers.
Δαμιανός Π. Σακάς, Nikolaos T. Giannakopoulos, Νίκος Κανέλλος, Christos Tryfonopoulos
Today, more than ever, the popularity of decentralized payment systems has risen, creating an outbreak of new cryptocurrencies hitting the market. Unique websites have been staged for each cryptocurrency, where information and means for mining cryptocurrencies are available daily. People visit those cryptocurrency websites either from desktop or mobile devices. Thus, the impulsion for appropriate promotion of cryptocurrency websites and customer factors affecting it rises. The above process increases cryptocurrency organizations’ website visibility, raising the need for customer relationships and satisfaction optimization concerning organizations’ supply chain strategy. Research data were collected from 10 well-known cryptocurrency websites, regarding mobile and desktop devices, in 180 days, regarding on-site web analytics. Therefore, a model consisting of three stages was applied. Starting phase of the model pertains to statistical and regression analysis of cryptocurrency web analytics, followed by Fuzzy Cognitive Mapping and Agent-Based Model deployment. Throughout this study, methods for promoting cryptocurrency websites can be deduced from assessing specific website metrics and device preferences. Research results indicate that web analytics give a clearer image of customer behavior in cryptocurrency websites and, therefore, provide opportunities for further website optimization through increased web traffic and digital reputation.
The rapid development of China's local e-commerce and the continuous improvement of its business model have not only pushed the country to the forefront of the globe but also opened up the unprecedented potential for China's cross-border e-commerce. Therefore, it is imperative to build a balanced and sustainable cross-border e-commerce system, and cross-border e-commerce on the Silk Road has become a new highlight of China's e-commerce development. This study proposes a cross-border supply chain model based on the complex computer blockchain for international cooperation scenarios, contrasts and analyzes decision making in two cross-border supply chain scenarios with and without blockchain implementation, and investigates the sufficient conditions for blockchain implementation in the cross-border supply chain from the perspective of various value objectives. The analysis reveals that the cross-border supply chain has sufficient incentive to implement blockchain when the value gain generated by implementing blockchain is high or the value gain is low but the potential market size weakening factor of cross-border products is greater than a certain degree. It demonstrates that the link between cross-border product price elasticity, manufacturer cross-border effort cost, and customer cross-border preference degree would impact the circumstances for adopting blockchain in cross-border supply chains. The model also lays out a plan for the government to improve cross-border e-commerce logistics, strengthen oversight, and create a regional financial service network system to reduce credit risk.4.
The article is devoted to the study of the paradigm of accounting, control and analytical information that affects the success of business processes in the corporate and state sectors of the economy. The authors propose the step-bystep development of the methodology for managing big data and the creation of corporate digital ecosystems (CECE). This includes clarifying the content of the digital ecosystem concepts as well as the development of a mechanism for collecting and processing information for corporate management (using modern digital technologies and system financial platforms) with the conclusion that the most productive is the distributed ledger technology (DIT). On the basis of a clear identification of the positive and negative consequences of scaling the CECC, recommendations were made on the technology for transferring reporting data. It has been proven that DIT offers a choice for the best scaling options, can be also applied when transferring reporting information to various higher authorities. It has been determined that the search for new and improvement of the applied technologies for managing big data is actualized as the information field expands and its diversity. The possibilities of collaboration of database management systems (DBMS) are disclosed and directions for improving the efficiency of new digital technologies for managing accounting and control information (distributed registers and their variants) are identified both for large ecosystems (the economy of the country, territories, regions, clusters and banking and other large holdings) and small (economic entities and their information technology and economic departments).
Against the backdrop of the development of the cryptocurrency market, the popularity of blockchain technology has also grown. However, the unique structure of the technology, characterized by its transparency, immutability and, in most cases, decentralization, allows it to be widely used in various areas of life. The article explores the essence of blockchain technology, as well as the degree of technology integration into the financial sector of the economy. The subject of the research is blockchain technology. The object of research is international finance. The author in the article emphasizes the nature of blockchain technology, and also studies the current situation in the blockchain industry, its implementation in the financial sector of the economy, in particular the activities of commercial banks. The blockchain industry is expanding and improving at a steady pace, finding its constant use in both public and private finance. In this direction, active work is also being carried out in Russia. However, due to a number of key limiting factors, to date, blockchain technology has not been integrated in practice to the extent that it could allow it to change the structures of international or individual national finance. Contrary to expectations, the speed of blockchain implementation is slower than that of the Internet technology, which is often compared to the development of blockchain technology. However, despite this fact, the blockchain has gained a foothold in various aspects of international finance and plays one of the key roles in accelerating the process of digitalization of this sector of the economy.
The article examines the main stages of evolution of blockchain technologies in the activities of various companies from 1991 to the present. The aim of the article is to study the evolution of the use of blockchain technologies in the practice of different companies. The research methodology includes the use of the historical method to study the main stages of development of blockchain technologies and the study of blockchain use practices by different companies. The relationship between the stages of evolution and Tiers of Blockchain has been established: 2008-2013 (Blockchain 1.0); 2013-2015 (Blockchain 2.0); 2015-2018 (Blockchain 3.0); From 2018 to now (Generation X). The main types of blockchain (public blockchains; private blockchains; semi-private blockchains; sidechains; permissioned; distributed ledger; shared ledger; fully private of proprietary blockchains; tokenized blockchains; tokenless blockchains) are systematized. Peculiarities of practical implementation of blockchain technologies in the activity of companies of different sectors of the economy are studied. A SWOT-analysis was conducted, which revealed that blockchain technologies will undoubtedly continue to develop, affecting many industries, including public administration, retail, information technology, travel, health, education, agriculture and entertainment. One of the ways to improve the use of blockchain technologies should be: increasing the confidentiality of operations; scaling of chains of blocks; establishing compatibility between different blockchain systems; strengthening the security of blockchain operations; individual approach to the use of blockchain technologies.
In this article forecasting of daily closing price series of Bitcoin, Ripple, Dash, Litecoin and Ethereum crypto currencies, using data on prices (open, low, high), market capital and volumes using prior days is focused. The value conduct of cryptographic forms of money remains to a great extent neglected, giving new chances to scientists and business analysts to feature the likenesses and contrasts with standard monetary costs. Hence the paper is focused on this area. he results are compared with various benchmarks. Predictions are done using statistical techniques and machine learning algorithms. A simple linear regression (SLR) model that uses only a single-variable sequence of closing prices for forecasting, and a multiple linear regression (MLR) model that uses a multivariate sequence of prices and quantities at the same time. The simple linear regression (SLR) model for univariate serial forecasting uses only closing prices. Mean Absolute Percentage Error (MAPE) and relative Root Mean Square Error (relative RMSE) performance measures are considered. The accuracy achieved by the ARIMA model on our dataset is the highest, followed by Multivariable Linear Regression and LSTM.
Viktor S. Gorbatov, Dmitriy A. Dyatlov, Roman V. Natalichev
One of the most promising solutions for optimizing logistics processes is the creation of automated supply management systems based on distributed registry technology, in particular a smart contract. However, in addition to the well-known economic advantages of such a technology, the expediency of its practical application will largely be determined by the stability of the functioning of these control systems in modern conditions of the threat of destabilizing influences. Currently, the solution to the security issues of smart contracts as programs are reduced to checking the source code of applications. Obviously, this is clearly not enough to ensure the reliability of logistics management, the stability of which can be determined on the basis of known methods for assessing the complex security of the corresponding IT system. This study adapts existing methods for auditing and assessing information security risks for an IT system using a smart contract, and the subject is to substantiate the applicability of such an approach to assessing the security of logistics processes, considering the features of smart contracts. The paper considers the features of the use of smart contracts in logistics processes, outlines appropriate approaches to audit and risk assessment of the functioning of the logistics management system based on smart contracts. Recommendations have been developed for the practical implementation of specific methods for assessing the security of an IT system using a smart contract, which is set by the authors as the goal of further work. The results of the study can be useful to specialists in the field of optimization of logistics processes and information security when developing new logistics schemes based on smart contracts.
Aziz Hafis Ogly Safarli, Murad Azer Ogly Mamedov, Aleksei Ivanovich Bolonin
The article examines the genesis and technologies of the cryptocurrencies, presents data from leading cryptocurrencies platforms for the purpose of in-depth analysis of the current market situation. In recent years, there has been a significant growth of the cryptocurrency market, the development of new technologies and products on the market, as well as an increase in its influence on more traditional financial markets. In this regard, the issue of regulating cryptocurrencies at the national and supranational levels is becoming increasingly relevant. The subjects of the research are the international cryptocurrency market, the technology of the distribution register, the experience of various countries in regulating the issuance and circulation of cryptocurrencies. Based on the results of the study, the authors identified current trends in the global cryptocurrency market. According to the authors, it is practically impossible to completely ban the issue and turnover of cryptocurrencies by the state due to their decentralized nature. Regulation of the cryptocurrency market is a new source of funds for the tax budget, and will also contribute to the further development of the field of digital technologies. In the article, the authors investigated the approaches a number of countries in the direction of regulation and legalization of the cryptocurrency market, which can be used as an example in the process of creating a regulatory framework for the Russian cryptocurrency market.
Aleksei Aleksandrovich Ruban, Alina Viktorovna Krivopuskova, Dmitrii Sergeevich Kleimenov
Currently, the popularity of cryptocurrencies as an investment asset is growing, bitcoin is the most attractive among them, since it is the oldest instrument in this market. In this paper, the authors examined the advantages and disadvantages of the cryptocurrency in question, the history of its creation. The analysis of the effectiveness of the inclusion of the digital asset in question into the structure of an investment portfolio consisting of assets of various classes was carried out using the Harry Markowitz portfolio theory. The relevance of the chosen topic is confirmed due to the popularity of digital assets in modern conditions. The existing gaps in the legal regulation of their turnover are gradually being filled, and institutional investors are increasingly investing in the purchase of cryptocurrencies. The results of the study indicate a significant increase in the profitability of the investment portfolio after the addition of bitcoin, which can in some proportion become an effective substitute for investments in the stock market of American companies. The analysis revealed a high degree of mutual correlation between the dynamics of the bitcoin price and the S&P 500 index. The construction of the regression equation and the calculation of the determination coefficient give reason to believe that the dynamics of the S&P 500 index by 92.25% correlate with fluctuations of the price of bitcoin, which is due, apparently, to the attractiveness of the new and tempting investors with the profitability of the cryptocurrency market. The results obtained, on the one hand, indicate the possibility of using technical and fundamental analysis tools to work with crypto assets, on the other hand, the convergence of the behavior of this type of asset with changes in traditional market benchmarks.
The paper proposes a trading strategy for investing in the cryptocurrency market that uses instant market entries based on additional sources of information in the form of a developed dataset. The task of predicting the moment of entering the market is formulated as the task of classifying the trend in the value of cryptocurrencies. To solve it, ensemble models and deep neural networks were used in the present paper, which made it possible to obtain a forecast with high accuracy. Computer analysis of various investment strategies has shown a significant advantage of the proposed investment model over traditional machine learning methods.
Abstract This study is an attempt to evaluate the compliance problem regarding the current status of the establishment of agreed‐upon interfaces for tokens, which are the most important type of applications of the Ethereum blockchain. The authors analysed the existing application programming interface standard interface called Ethereum Request for Comment 20 (ERC‐20), proposed functional ERC‐20 specifications, and evaluated the real‐world token smart contracts that have been deployed and used for transactions on a blockchain. For the evaluation, the authors developed an automatic tool with a test suite based on the proposed functional specifications. The authors' experiment revealed that no top‐100 market capitalization token smart contracts turned out to agree perfectly based on the functional specifications. In addition, the authors found the de facto standard behaviour deduced through testing with the functional specifications and suggested a possible countermeasure for the compliance problem in dealing with multiple tokens together.
Objective. The aim of the work is to determine the prospects for the development of digital financial instruments in the management of social and economic systems. Method. The comparative analysis of the results of an anonymous survey using interactive multi-user social networks was used as research methods in the work. Result. The factors and key parameters influencing the development of cryptocurrency mechanisms are revealed, the advantages and disadvantages of using digital tools are identified. Suggestions for the management of cryptocurrency instruments and recommendations for improving the reliability and development of digital instruments in the financial and digital environment are given. The results of the analysis of a survey of 1121 respondents on the topic of using cryptocurrencies are presented. The results of the study showed that the most commonly used cryptocurrencies are Bitcoin and Ethereum, with a significant proportion of respondents preferring digital activities such as mining and trading. At the same time, a significant number of respondents believe that the future development of digital financial instruments is directly dependent on the legitimization of cryptocurrencies by the state and improvement of blockchain technology. Conclusion. The development of cryptocurrencies cannot be assessed unambiguously. With the development of cryptocurrency instruments, a number of threats arise, which include significant volatility, the presence of legislative restrictions on their use, and the inability to withdraw operations. The further development of cryptocurrencies should be associated with the legal regulation of their distribution, both at the national and international levels, which will ensure the determination of their legal status among other monetary units. It is also necessary to carry out a phased introduction of cryptocurrencies into payment systems for cash settlements, which should be carried out on the basis of the organization of the official circulation of cryptocurrencies and blockchain technology.
Traditional agricultural product traceability system adopts centralized storage, and the traceability process is solidified, which results in the low reliability of traceability results and the poor flexibility of the system. Aiming to solve this problem, blockchain technology is applied to supply chain traceability, and a supply chain traceability system based on sidechain technology is proposed. Goods management, information sharing, and product traceability in supply chain are realized through Ethereum smart contract. The sidechain technology is adopted to expand Ethereum so that it can meet the needs of practical applications. The experiment results show that the proposed system has a transaction function and information sharing function. Compared with similar trading systems, the proposed system has more advantages in throughput and security.
Intellectual contracts based on blockchain technology improve the efficiency of supply management of an automobile enterprise by optimizing the transactional costs of supply logistics. The present research featured KAMAZ PTC. The goal was to develop an interaction mechanism for all participants of an intellectual contract in supply activities. The article includes a review of Russian and foreign publications about intellectual contracts in various business spheres, supply management efficiency, optimization of transactional costs, and blockchain technology. The study made it possible to build an interaction mechanism of the parties involved in a blockchain intellectual contract. It also revealed a pattern of changes introduced to the intellectual contract at different stages of interaction between the initiator and suppliers. The authors also highlighted the difference between smart contract and intellectual contract. An intellectual contract appears as a logical development of a smart contract and allows the sides to change the terms. The party interaction mechanism can improve the supply efficiency as it optimizes the magnitude of transactional costs.
The emergence of the digital economy and increased activity in cyberspace have led to the creation of new technologies and digital products such, as non-fungible tokens (NFT). The article presents the arguments that justify the need to study NFT as an object of legal relations and an object of accounting. A brief description of these items has been given; their types and market of circulation have been studied, and, also the current legal provisions, Russian accounting standards and international financial reporting standards have been analysed. To define NFT as an accounting object, the types of accounting objects enshrined in Federal Law No. 402-FZ “On Accounting” have been considered and the criteria for their attribution in relation to NFT have been analysed. The legal and accounting problems associated with the emergence of a new object have been highlighted and the ways for further research in the field of creating an accounting methodology for NFT as a specific and highly promising digital product have been defined.
Blockchain is a term in the field of information technology. In essence, it is a shared database, and the data or information stored in it has the characteristics of “unforgeable,” “full traces,” “traceable,” “open and transparent,” and “collective maintenance.” Based on these characteristics, blockchain technology has laid a solid “trust” foundation, created a reliable “cooperation” mechanism, and has broad application prospects. This paper is aimed at studying a method in view of the integrate of system analysis and system simulation to solve the problems in the production and distribution (P&D) system in the supply chain, proposing a more realistic optimization plan, and then promoting it to various enterprises. This article proposes the idea of using supply chain management, through system analysis, system simulation, case analysis, and comparative research methods, starting from the strategic level, tactical level, and operation level of supply chain management to optimize the P&D system. Pay attention to the P&D system issues in the supply chain environment, and apply the method of system analysis and system simulation to get a better P&D plan. The experimental results of this paper show that the total cost of the supplier selection strategy is 5.204 million yuan, and the delayed delivery rate is 30%. The new reconstruction strategy makes the total cost as low as 3,809,700 yuan, and the total delayed delivery rate is as low as 7%.
Светлана Магомедовна Догучаева, Svetlana V. Zubkova, Yuliya Valentinovna Katrashova
This article identifies the main directions of modernization of the public supply chain management system in the aspect of digitalization of the economy. The need for the im-plementation of the blockchain is justified and the most appropriate type of this network is selected, taking into account the tasks that this technology should solve. The principle of operation of the distributed registry and its characteristics are considered. The levels of access to the blockchain network are determined depending on the roles of participants in the public procurement process. Special attention is paid to smart contracts, on the basis of which trust relations are formed between the parties to the transaction. The authors also used statistical data to assess the socio-economic benefits and identify the main ad-vantages and risks of implementing blockchain technology in the public procurement management system. Smart contracts based on blockchain can provide financial stability, reduce the cost of storing and transporting documents. Thanks to the blockchain, it will be possible to avoid corruption. The blockchain ensures the reliability of the conclusion of the contract and guarantees its execution on the basis of smart contracts. Implementation of blockchain within public procurement system will require investments not only into software development and digital infrastructure, but also into cybersecurity.
Purpose: to analyze existing machine learning models that allow identifying suspicious addresses of the Bitcoin network, to develop a modern effective scoring model for identifying suspicious addresses. Methods: collecting and analyzing data on addresses and transactions of the Bitcoin network, identification of patterns of illicit activity of addresses, developing and experimental verification of machine learning models aimed at identifying suspicious addresses of the Bitcoin network using related transactions. Practical relevance: the analysis of common data sets and machine learning models related to the identification of suspicious Bitcoin network addresses was carried out, data on transactions related to a representative set of addresses was collected. Machine learning models have been built to identify suspicious addresses based on the collected information. Experimental approbation of the models was carried out. It is established that the best result is obtained by a model using gradient boosting. This model demonstrates more efficient operation compared to existing analogues.
With the development of financial institutions, this application software and related information technologies are used not only by specialists, but also by ordinary citizens to solve tasks that a few years ago seemed to be within the competence of only mathematicians specializing, for example, in building forecasting models. It can be noted that the collaboration of IT with application software, as well as with the mathematical apparatus most typical for forecasting tasks, gives good results. In particular, this applies to the Central Bank market. The study is devoted to the problem of approaches to the selection of methods and strategies for analysis and forecasting of the central bank markets, which is an urgent issue today. Far from all possible methods and strategies have sufficient coverage in the scientific information space, which prompts the need to analyze and systematize already existing information in this field. Accordingly, basically. the purpose of the study is to analyze and systematize the theoretical foundations of existing approaches to forecasting the CCV market. An analysis and systematization of the theoretical foundations of existing approaches to forecasting the CCV market was carried out. Generalized advantages and disadvantages of structural methods and models used for making market forecasts were outlined. A comparative analysis of ANN models was carried out in terms of their use for market analysis tasks. Among the analyzed ANN models are the following: CNN-2l, CNN-3l, LSTM, sLSTM, BiLSTM, GRU, CLSTM, MLP and RFBNN. The analysis and testing of existing models provided results that provide a wide scope for further research and study.
The issues of sustainable development of territories are increasingly coming into the field of vision of scientists and practitioners. The institutional framework of the region's infrastructure implements the principles of sustainability and adaptability. The use of smart contracts can facilitate strengthening of the communication stability between subsystems and elements of the region's economy. The practice of using smart contracts in various spheres of activity (banking sector, insurance, transportation, delivery of goods, government services, etc.) demonstrates their ability to maintain the intended development trajectory, despite the influence of external factors. The possibilities of using smart contracts in the regional economy include holding a vote of citizens on a particular vital issue; organization of cadastral registers and standard electronic documents. Also they include carrying out initiatives to register companies and support small and medium-sized businesses; introduction of a mechanism for tracking shares and their financial support; management of communication between business entities and individuals in terms of compliance with environmental standards, including the provision of regulatory and reference documentation. We are not talking about the formalization of the entire economic system with smart contracts and the creation of a "digital region". The formulation of the research problem is associated with the use of smart contracts as a connecting link in the institutional framework of the regional economy, contributing to overcoming the state of instability of infrastructure in the digital economy. In recent years, support for the sustainable development of the territory has become an urgent agenda for the development of many institutions. The principles of sustainable development, or ESG -Environmental, Social, Governance, are formulated, implying a responsible approach to environmental issues, social and corporate cooperation. Obviously, in order to work according to ESG principles, Russian regions need institutional transformation. Digital tools (smart contracts, block chain, cloud technologies and artificial intelligence) create additional opportunities for the implementation of the ESG agenda. The sequence of actions is the following: analysis of the goals achieved in this direction on the basis of digital technology tools; development of a regional ESG policy (a concept for the development of a territory based on ESG principles) and informing the public (publication of the concept in the public domain) about the directions and priorities of its implementation. Then it is as follows creation of an institutional basis for the implementation of regional ESG-policy; defining the objectives of institutional support; formation of measures for the implementation of regional ESG-policy, including time limits and responsibility for their implementation.
Open access
Economic and Technological Systems Analysis
Digitalization and Economic Development in Agriculture
The housing problem in the Russian Federation is one of the strategic and priority directions of social and economic policy of the state. According to the housing commissioning figures for the last three years, it can be concluded that the housing problem in the Russian Federation can be solved by building low-rise houses using large-panel housing construction technology. In the current phase of development, low-rise large-panel housing construction cannot function in the mode of self-sustained autonomous existence. The segment in question is not primarily experiencing a shortage of funds, but a lack of strategic and managerial component, which is expressed in the absence of a mechanism of interaction between the participants of the investment and construction process. To reduce management decision-making uncertainty in the implementation of large-scale low-rise construction projects, the article proposes a model of a large-scale low-rise construction consortium, which acts as an integrated organizational and production structure that seeks to find a balance between centralization and decentralization of management. The consortium model unites construction enterprises, manufacturers of building materials, suppliers of material, labor, scientific and investment resources organized into the main technological chain of value-added to ensure technological development of large-scale low-rise construction. The analysis of the developed consortium model allowed us to determine the effectiveness of the proposed measures, which lies in the possibility of significantly reducing the cost of construction and installation work and, consequently, increasing the competitiveness and profitability of the final product, both for consumers and for the consortium members.
Public transportation is the primary source of COVID-19 spread in metropolitan areas. This paper discusses the conceptual model of a COVID-19 social contact tracing system in the subway, based on an exclusive blockchain (DLT). The architecture of the main components of the system is considered in detail: an algorithm of contact recording, infection notifications and risk analysis, the process of publishing information about an infected person in the network. To check the adequacy of the model, we propose to use the previously proposed method to simulate the peak load. Proof-of-stake is based on real-life peak load data in the Moscow and New York subways. This calculation shows the applicability of this method for the largest metropolitan areas of the world, substantiates the technical characteristics of blockchain network nodes.