системы анонимного подтверждения фактов на основе современных криптографических примитивов: Zero-Knowledge-доказательств и децентрализованных идентификаторов. Проанализированы существующие подходы к децентрализованной идентификации и проверке аттестуемых данных, включая стандарты W3C Verifiable Credentials и DID. Проведён обзор систем прототипов, использующих ZK-доказательства для проверки возраста, дипломов, результатов KYC и иных атрибутов личности без раскрытия персональных данных. Изучены технологии генерации и верификации zk-доказательств для Ethereum-совместимых систем, включая ZoKrates, Noir и Barretenberg, а также механизмы хранения доверенных публичных ключей организаций-издателей в блокчейн-реестрах. Особое внимание уделено роли смарт-контрактов и неизменяемой среды исполнения как источника доверия в распределённых системах.
This paper outlines the architecture and methodological foundations of the BeTrueCore modular system, built upon the "Web3 Intuitive Symmetry Methodology" v1.2. Aaddress the critical challenges of destructive sociotechnical pressure, preference falsification, and enforced informational atomization inherent in modern centralized digital ecosystems. This paper is dedicated to the operationalization and mathematical description of the BeTrueCore modular system’s dynamic engine. The article bridges the traditional "verification gap" between abstract ethical-philosophical concepts and their rigorous software implementation. It deploys the concept of a fractal "Build → Measure → Learn" feedback loop, where participants' individual intuitive impulses (the Pulse) are converted into semantic vectors and weighted by the AI-Metronome. Particular attention is paid to the stochastic transition mechanism—the "White Feather Jump"—modeled via the Wiener differential equation as a method for extricating the collective intelligence from algorithmic deadlocks. The study thoroughly examines 9 key sociotechnical risks (including the Dunning-Kruger, Timur Kuran, and Paulo Freire phenomena) and provides systemic responses from the platform modules, secured by ZK-cryptography and Lit Protocol. The paper verifies BeTrueCore as a resilient tool for measuring and Bayesian updating of collective consensus under conditions of inherent systemic noise. The architecture executes a dialectical inversion: transforming isolation from an instrument of suppression into a protective 'digital citadel,' restoring the user’s absolute autonomy over their time and choices under the principle: 'My identity is my castle.' The study formalizes the 'Centaur' hybrid decision-making model. The study formalizes the "Centaur" hybrid decision-making model, where the synergy between non-linear human intuitive potential (Pulse) and AI computational efficiency (Metronom) is mathematically defined through a utility maximization function that accounts for systemic risks and machine ethics. Rather than suppressing the chaotic incoming entropy of the human factor, the algorithmic core converts it into stochastic resonance, enabling the system to escape local minima and converge on global maxima of truth.
Dmitry M. Fedorov, Y. Kovalenko, Svetlana N. Kovalenko
The article is devoted to the study of the role of information technologies in improving the mechanisms for monitoring the results of scientific activity in the Russian Federation. The purpose of the article is to analyze existing information systems – EGISU R&D, eLibrary, RSCI and Antiplagiat, as well as to identify problems and limitations of their functioning. The methodological basis consists of a systematic analysis of regulatory legal acts, a comparative analysis of the functionality of systems and a review of publications on the problems of scientometry and digitalization of science. It has been established that, despite significant progress in the creation of digital infrastructure, Russian systems are characterized by insufficient integration, inefficient data verification and excessive focus on quantitative indicators. Recommendations on the implementation of distributed ledger technologies and ensuring a balance between quantitative and expert evaluation of the results are formulated. The practical significance of the work lies in the justification of measures to increase transparency and reliability of scientific activity control.
This work presents a comprehensive study of the mechanisms of integration of independent artists into the global music ecosystem. The author justifies the transition from a model of spontaneous popularity to strategic engineering of social connections, where the synergy of academic qualifications, institutional membership, and algorithmic collaborations plays a key role. The work analyzes the importance of professional associations (NATS, HipHopAlliance, ISSA) as tools for creating a “reputation shield” that allows artists to minimize investment risks and gain access to closed industry resources. Particular attention is paid to the scientific verification of creative activity through publications in academic repositories (SSRN), which transforms a personal brand into the status of an intellectual expert. A practical algorithm has been developed for establishing direct contacts with top American artists (using the examples of OG Maco and Mytee Dee) based on the theory of network centrality and the concept of “fan trading.” The manual contains step-by-step recommendations for the legal and technical implementation of joint projects, the integration of Web3 technologies, and the optimization of digital distribution. The publication is aimed at music entrepreneurs, independent performers, and cultural industry managers who seek to scale local success to the level of sustainable international authority.
This study investigates how media influence and educational resources shape individual engagement with cryptocurrencies. As digital assets become increasingly mainstream, social media platforms, influencers, and financial analysts play a central role in driving public interest and investment behavior. Quantitative surveys and qualitative interviews reveal that persuasive narratives and success stories on social media often attract new investors, while accessible educational materials empower individuals to make informed decisions in a volatile market. The findings highlight that media exposure can spark initial adoption, but sustained and responsible participation depends on comprehensive education in cryptocurrency fundamentals, trading strategies, and blockchain technology
Данная работа посвящена решению проблемы фрагментации и быстрого устаревания информации в экосистеме Web3. Задачи, которые решались в ходе исследования: 1. Выбор источников данных, инструментария. 2. Реализация получения и обработки большого количества данных. 3. Реализация ассистента на базе искусственного интеллекта для ответов на вопросы пользователей. 4. Сопровождение, тестирование и анализ качества приложения. В рамках исследования был осуществлён выбор проверенных источников информации, таких как: официальные руководства, научные труды, онлайнфорумы, блоги и хранилища кода, произведён анализ различных инструментов, предназначенных для автоматизированного получения и обработки данных, включая методы веб-скрейпинга и парсинга и обозначен технологический стек, включающий выбор языков программирования и платформ для развёртывания. Было разработано решение для сбора базы знаний, на основе которого системы был создан ИИ-ассистент, способный отвечать на вопросы, касающиеся Web3. Система реализована в соответствии с принципами DevOps. Данная разработка способствует расширению доступа к знаниям о Web3, автоматизируя процесс сбора информации и предоставляя эффективный инструмент. Для достижения данных результатов в работе были использованы/разработаны следующие информационные технологии, в том числе программное обеспечение, облачные сервисы, базы данных и прочие: AWS, Serverless, TypeScript, VS Code, DynamoDB, ECS, Lambda, OpenAI, CloudWatch, GitHub, SNS.
With the development of digital technologies, smart contracts are becoming an important tool for improving social networks. The research examines the integration of smart contracts for intelligent data analysis and process automation. These self-executing blockchain-based applications could revolutionize the way data management, content monetization, and user engagement are approached. The developed system provides automation of transactions, payments to authors, protection of personal data and decision-making in communities. This makes it possible to monitor user interaction in real time and analyze their activity, automatically recording and processing data without the intervention of intermediaries. This approach provides high transparency and accuracy, which makes it effective for researching social trends, identifying public opinion leaders, and evaluating content impact. Smart contracts also help streamline processes that previously required human intervention, keeping all actions and transactions stored on the blockchain transparent. This increases user trust and creates a fairer environment for interaction on the platform. Therefore, the developed system includes several technological aspects, such as blockchain, smart contracts, intelligent data analysis, as well as the integration of these technologies in social networks
Open access
Economic and Technological Systems Analysis
Advanced Research in Systems and Signal Processing
This work is devoted to the research of the blockchain network, in particular, aimed at detecting illegal activity in the Ethereum network using forensic methods. The paper describes the concepts and basic vulnerabilities related to the Ethereum network and the integration of graph analysis to develop an algorithm that scrutinizes Ethereum's transaction structure for illegal activities, including money laundering. In addition, the study includes an analysis of the very structure of Ethereum and the blockchain, which allows insight into the identification and analysis of various aspects of their functioning. The research results are used for the software implementation of the study and improvement of the security level of the blockchain network, including the creation of advanced software solutions for network analysis and protection of the integrity of the blockchain ecosystem. This integrated methodology aims to protect the integrity of blockchain ecosystems.
Open access
Economic and Technological Systems Analysis
Advanced Research in Systems and Signal Processing
M. Priyadharshini, D. Archana, Sathyanarayana, S. Chowdhury · 5 authors
On the network, cryptocurrency expands across massive machines. The decentralization approach is constructive for transmitting money more quickly and affordably in cryptocurrencies. Decentralization is a significant benefit of cryptocurrencies. A degree of economic equality is therefore created. Investments in cryptocurrencies are more advantageous. Using cryptographic algorithms, digital resources include cryptocurrencies. Different forms of cryptocurrencies are classified. The most well-known cryptocurrency is, without a doubt, Bitcoin (BTC), even though everyone has since appeared. It contains stablecoins, a cryptocurrency whose value is tied to something resembling a fiat currency, and debt paper, whose value is tied to commodities that resemble gold—a unique chance in finance history. Cryptocurrencies are primarily innovative and disruptive in the financial sector. Increased volatility in the stock market is a significant effect of cryptocurrencies. It is erratic, and the values change as well. Additionally, it causes stock values to fluctuate. One of the digital assets is crypto assets. No one can access our money until they have the private key to our crypto wallet. Once we forget or lose our key, no one will refund our money to us. The cryptocurrency industry in India has undergone a significant transformation, drawing in new investors and upending established structures. Cross-border transactions in economic enterprises are increased by blockchain. The technology was utilized by messaging applications in various ways with private investors. India will no longer retain its position as an offshore economy but rather as an industrial leader. These make a lot of compromises. As a result, (1) India will be enticed to attract international investments, and (2) the industry will create more jobs that will benefit the economy and the young.
This work examines the realities of social networks around the platforms of media giants on the world stage and the potential transition to a new stage - web3 marketing, thanks to the development and modernization of blockchain technologies. Advertising platforms are already changing marketing strategies and interactions with customers through targeted and sensory marketing, and the opportunities and challenges facing the industry in implementing centralized and decentralized technologies in the blockchain ecosystem are discussed. To begin with, modern approaches to promoting brands with the help of online marketing were considered, taking as an example targeted advertising on web resources. The next stage of the analysis of the marketing complex is the content strategy of attracting the target audience by means of the calculation of key metrics. Through this, you can gain insight into ways to directly influence key metrics to better understand your target customer's desires. The third stage revealed the history of the development of the Internet from version web1 to web3 using examples that influenced the development of modern finance and marketing strategies for brand promotion. The final stage in the work was the disclosure of the concept of decentralized and centralized financial systems based on blockchain technology. Thanks to this, it is possible to see the impact of these systems in the world economy, as well as to reveal their positive and negative sides, which mutually replace each other, looking at the problem set by the user, using blockchain technology, as an exchange of financial assets. As a result, the principle of setting up the metauniverse as one of the most promising traffic channels for the world economy is explained.
The article is devoted to highlighting and defining the nature of cryptocurrencies. We will go into the details and latest trends regarding cryptocurrencies, with directing the potential risks and opportunities of investing in cryptocurrencies
The use of data mining techniques in the context of the behavioral economy of virtual assets based on social media data allows for a more accurate assessment of the price movements of cryptocurrencies. The study builds models for forecasting prices in the cryptocurrency market, taking into account the behavioral factors of stakeholders based on social data from the TikTok platform. The data for this study were obtained using social media application programming interfaces. The main stages of the study included data collection, processing and aggregation, scaling and correlation analysis, building and evaluating the relevant models. As a result of the study, key behavioral metrics of social networks are identified. Correlation analysis showed strong linear links between TikTok’s social performance and weak links to the price of bitcoin. The study builds linear models, polynomial regression, Decision Tree and Random Forest. Behavioral metrics such as the number of shares, likes, comments, shares, and views are used. Models are evaluated by testing with use of MSE and MAE metrics. The results suggest the limited effectiveness of linear regression for predicting the prices of cryptocurrencies due to the non-linear nature of the market. The Decision Tree model has shown some success in predicting bitcoin prices, however, deviations in forecasts have increased over time, especially in the face of market fluctuations. Polynomial regression and the Random Forest model demonstrate higher accuracy in forecasts. Based on the comparison of MSE and MAE indicators, the Random Forest turned out to be the most effective model for predicting bitcoin prices among those considered.
Blockchain Technology is the emerging component of IT and Computing and is a kind of encrypted record of data works on distributed database. This is furthermore dealt with the data related to the transaction, contract, independent record, etc. Digital ledger is important and also applicable in various platforms, not bounded in a particular place; and required in financial activities and services and hence it is worthy in healthy digital currency and transactions. Financial transaction is not associated with the third party and it keeps the data encryption and here participants no need to share personal data and thus Blockchain Technology is associated with the data breach. Insignificantly Blockchain not only reduces the data breach but also supports the multiple numbers of shared copies and it works on the same database. It helps in wage a data breach attack. Earlier it was known as Blockchain but gradually it is treated as a Technology and considered as important in Information Technology and impacting the financial sector rapidly. Blockchain Technology is required in various tangible and intangible asset management and required in tracking including recorded effectively within a network and ledger. Blockchain is therefore is a tool, a technique, as well as a procedure for sophisticated financial management. This paper is based on existing literature emphasizing Blockchain Technology with features, characteristics with a focus on its types.
Blockchain are transparent, tamper-resistant, digital ledgers, implemented in a distributed network of peer-to-peer nodes, in which transactions are made securely and usually without the approval of a central and trusted authority.Thus, blockchains allow peer-to-peer nodes that do not have a trust relationship to exchange data without third parties or intermediaries.This data could correspond to money, contracts, land titles, medical and educational records, certificates, purchase and sale of goods/services, or any other transactions or assets that could be digitized.Blockchain offers lots of advantages, in finance, healthcare, government services, educational sectors, and the Internet of Things.Applying blockchain technology in educational systems will take the management of academic records and the issuing of graduates› certificates to a higher level of trust, in addition to minimizing lots of work and costs.The proposed model calls for a unit within the Ministry of Higher Education using blockchain technology, that will offer a potential solution for student's data storage, students' exchange between institutions and certificates issuing and verification.This will lead to multiple advantages in decentralization, scalability, reliability, and security.
Abstract— The paper presents the results of an analysis of the decrease in cryptographic strength of the most common symmetric ciphers, taking into account the development of cryptanalytic methods. The vector of the threat to the reduction of information confidentiality stored and processed in information systems in the long term has been determined. An approach to constructing hybrid ciphers, based on the symbiosis of a composite cipher and the Vernam cipher, has been proposed to enhance the asymptotic cryptographic strength of symmetric cryptographic systems used for data encryption in information systems, the relevance of stored and processed information in which does not significantly decrease over time. For instance, this is applicable to information systems built on distributed ledger technology (blockchain networks).
블록체인 기반의 가상코인은 디지털이라는 공통점만 있을 뿐 인공지능 붐과도 다르고 플랫폼기업들의 부상과도 달리 사회적으로 생산적인 기여를 하지 못했다. 가상코인은 대안 화폐시스템이 되는데 실패했다. 가상코인은 대안 투자가 되기에도 위험성이 너무 크다. 가상코인은 설계구조 자체안에 반생태적인 약점을 가지고 있다. 비트코인과 가상코인의 기반이 되고 있는 블록체인 역시 아직 사회적 유용성을 제대로 입증하지 못했다. 하지만, 제대로 된 규제장치나 사회적 악영향을 방지하는 장치가 미흡한 가운데 여전히 가상코인 시장은 우리사회 안에 건재하고 있다. 미디어에서도 비트코인 등 가상코인에 대한 관심이 전혀 줄어들지 않았고, 뉴스 매체들은 거의 매일 가상코인의 시세변화를 알려주고 있다. 2022년 가상코인 거품이 크게 붕괴했던 시점에서조차 시장참여자들은 물론 정치권과 학계조차 가상코인에 대해 이중적이고 모호한 태도를 취해왔다. 본 논문은 세 가지 사회현상이 가상코인의 사회적 유해성을 감추는데 기여했다고 주장한다. 첫째, 기술혁신에 대한 환상이다. ‘블록체인’이라는 신비화된 기술 뒤에 숨어서, 가상코인 지지자들은 정부나 시민사회의 규제압력에 대해 ‘혁신을 가로막는다’는 논리를 앞세워 가상코인의 유해성을 방어한다. 둘째로 가상코인의 사회적 악영향이 공론장에서 제대로 논의되지 못하는 이유는, 가상코인과 블록체인이 내걸고 있는 화려한 내러티브가 강력하게 전파되어 대중의 심리를 장악하고 있기 때문이다. 셋째 가상코인은 (남성)청년 세대를 강력한 지지그룹으로 대거 끌어들임으로써 자신의 수명을 연장하는데 큰 도움을 받고 있다.
To date, most existing cryptocurrency exchanges do not have in their arsenal tools that would allow them to verify and investigate the information disseminated on social networks regarding a particular cryptocurrency. This makes it possible to conduct a relevant research with the subsequent development of a tool that, if used correctly, will provide users with advisory advice on further actions in relation to the cryptocurrency under study in the system. Based on this advice, interested parties will be able to adjust their decisions regarding further financial steps. The basis of most recommender systems is always the need to identify some influencing factors, which are later given certain weights to facilitate and simplify the formulation of further advice for users. In this paper, we study the influence of celebrity publications on the formation of prices for a particular cryptocurrency at a certain point in time. The importance and existence of this influence was previously proven by statistical methods. The purpose of the study is to develop an algorithm for studying the level of influence of posts of each of the selected group of experts in social networks on the cryptocurrency rate. The object of the study is the forecast of cryptocurrency rates. The input data used were the list of experts whose level of influence will be studied, the time interval of the study, the number of posts made by each of the experts in question over the specified period of time, and the actual cryptocurrency rates for the relevant period. The experts were well-known personalities who are either knowledgeable in the field of finance in general and cryptocurrencies in particular, or whose activities are somehow related to a particular cryptocurrency. Research methods. Experts are ranked based on the full probability and Bayesian formulas. Forecasting of cryptocurrency rates in a selected period of time is carried out using the algorithm for forecasting cryptocurrency rates based on expert posts on social networks (AUDSM). To control the accuracy of forecasts, the relative average error is calculated. Recommendations for financial transactions with cryptocurrencies are formed by entering the critical value of the exchange rate and calculating the arithmetic mean of cryptocurrency exchange rates for a specified period of time. Results. As a result of the research, an algorithm has been developed that allows taking into account the impact of the posts of each of the selected ranked group of experts on changes in the rates of a particular cryptocurrency. On the basis of the obtained forecasts, the paper presents a methodology for forming recommendations for financial transactions with them.
The valuation of the cryptocurrency market surpassed three trillion dollars in 2022, underscoring the burgeoning interest in digital currencies and decentralized finance.In response, on June 7, 2022, a bipartisan initiative led to the introduction of the "Responsible Financial Innovation Act," positioning cryptocurrencies as commodities and designating the Commodity Futures Trading Commission as the primary regulatory authority for the cryptocurrency market.Intriguingly, a study by Kim et al. (2022, JABE & IJBR) utilized a non-Euclidean methodology, suggesting that cryptocurrencies, in terms of their price dynamics, resemble securities more than commodities.However, a critical assessment of Kim et al. (2022, IJBR) reveals a methodological gap: the non-Euclidean distances were employed to derive a Euclidean configuration of 28 asset classes via multi-dimensional scaling.This Euclidean structure was subsequently employed for asset class categorization using -means clustering.This approach, while acknowledging the non-Euclidean distances among the 28 asset classes, leverages a Euclidean embedding for classification.In contrast, our research employs data depth to categorize asset classes without resorting to Euclidean embedding.We compare our findings with those of Kim et al. (2022, JABE & IJBR) for a comprehensive understanding.
Agus Muhammad Mirza, Yudi Fernando, Fineke Mergeresa, Ika Sari Wahyuni-TD · 6 authors
Today’s technology is increasingly advanced and developing, changing payment and investment methods. The emergence of crypto currencies represents the most recent innovation. Cryptocurrencies have attracted the attention of information technology professionals, economists, investors, banks and governments. However, aside from the advantages, there is also the expectation of cryptocurrencies of potential risks in using currency. This study aims to identify the factors influencing the decision to use cryptocurrency. The factors discussed are perceived risk, psychological risk and security risk. This study used a purposive sampling technique. The data were analysed using PLS-SEM with a final sample of 181 respondents. The results show that psychological, security and perceived risks significantly affect cryptocurrency usage. A relatively new technology makes it easier for individuals to make decisions about using cryptocurrencies. However, lack of information often causes individuals to face uncertainty and various levels of risk. However, individual decisions in using technology are not only influenced by risks but also benefit factors.
Chelsea Medina, Lily Shaw, Dissy Vargas, Sundar Krishnan
This paper discusses the mechanisms of cryptocurrency, the idea of using security in the system, and the popularity of it. To begin, the authors provide a background on cryptocurrency and how it works. The authors understand that while most people may be familiar with the concept, they may not know how it works. Next, the authors discuss the security of cryptocurrency in-depth within the paper. The authors also provide examples of attacks on cryptocurrency systems to show the vulnerabilities within the system. Lastly, the authors discuss the popularity of the system to further express the need for security in cryptocurrency.
The article points out the prevalence of cryptocurrencies in modern society and explores the peculiarities of their use. The systematization of literary sources, foreign experience and market data shows that there is a debate and certain differences in the understanding and interpretation of the essence of cryptocurrency, which affects its introduction into business activities and use by citizens both at the legislative level and by the financial system. The urgency of solving this problem lies in the fact that the state must respond quickly to changes in society and adapt to them, preventing negative consequences, first of all, for the state itself, as well as for ordinary citizens. The methodological basis of the study is the use of methods of analysis, synthesis, theoretical generalization, economic and statistical methods. The article identifies the main features of cryptocurrency as a phenomenon and ways of its use. The expediency of its introduction into legal circulation is substantiated. The negative aspects that harm the financial system of the state and the factors that help the latter to develop are highlighted. Foreign experience of regulating the use of cryptocurrency and its taxation is presented, which has a positive impact on the legal and financial spheres of state activity. Given the identified weaknesses and strengths of cryptocurrencies, the threats to the use of cryptocurrencies and further opportunities for it are formulated. The article examines the current state of development of the cryptocurrency market and compares it with the market of 2017: the price, market capitalization and percentage of the total market capitalization of cryptocurrencies are analyzed. The article lists possible investment activities related to cryptocurrency. The impact of cryptocurrencies on the environment is studied. The necessity of state intervention in regulating the circulation of cryptocurrencies is indicated, finding options for overcoming the consequences of the weaknesses of cryptocurrencies
Petro I. Bidyuk, Олена Гавриленко, Mykhailo Myagkyi
This article presents an algorithm for predicting the rate of a selected cryptocurrency, taking into account the posts of a group of famous people in a particular social network. The celebrities chosen as experts, i.e., famous personalities whose posts on social networks were studied, are either familiar with the financial industry, particularly the cryptocurrency market, or some cryptocurrency. The dataset used was the actual rates of the cryptocurrency in question for the selected period and the statistics of expert posts in the selected social network. The study used methods such as the full probability formula and the Bayesian formula. It was found that posts by famous people on social media differently affected cryptocurrency rates. The “main” expert was identified, and his posts were used to forecast the selected cryptocurrency’s rate.
<em>First of all, this article contains information about the most popular cryptocurrencies today, as well as detailed information about cryptocurrencies and bitcoins.</em>