The growing demand for secure and tamper-proof academic credential management has exposed the limitations of traditional systems, including susceptibility to fraud, inefficiency, and dependency on centralised authorities. Blockchain technology, with its decentralisation, immutability, and cryptographic security, offers a transformative approach to issuing, storing, and verifying academic credentials. This paper explores blockchain architectures—public, private, and consortium—and their application in academic systems. Applying smart contracts and decentralised architectures, blockchain improves trust and transparency and optimises credential checking. OpenCerts and eScroll are presented, referring to existing implementations, to demonstrate possibility and impact on the real world. The study outlines issues such as scale, privacy and interoperability Lastly, the study outlines directions for future research for enhanced blockchain use in managing academic credentials globally.
Cryptocurrencies have experienced exponential growth in the 10 years after their discovery in 2009.Despite the popularity of cryptocurrencies as an investment, there is still much to be understood about the factors that influence cryptocurrency investment.This study seeks to find the influence of behavioral finance factors, specifically herding, heuristics, and prospects on investment decision for millennials and gen Z in Indonesia.The research method used is multiple regression with several stages including reliability and validity tests, descriptive analysis, and hypothesis testing analysis.With a sample of 140 respondents, it is concluded that herding and heuristic factors have a significant influence on investment decisions in the cryptocurrency market, while the prospect factor does not have a significant influence on investment decisions in the cryptocurrency market.The results of this study indicate that non-fundamental factors are still high as reflected in herding and heuristics on millennials and gen Z investors in Indonesia.Another implication is that many investment decisions are "not yet" sound in a very dynamic situation in the cryptocurrency market.
The work is devoted to a comparative analysis of tools for managing a cryptocurrency portfolio. The study aimed to find out which of the tools is currently the best solution for users. This analysis was carried out on the basis of two tools, first: a survey conducted of among 41 responders who are cryptocurrency users, and the second one: cognitive walkthrough. Conducted analysis confirmed the thesis that the Trust Wallet tool is currently the best solution for users.
WAN ATIQAH WAN JAMARUL IMRAN, Mohamed Hisham Yahya, Muhammad Hafiz Ali, MOHD AKBAL QAMAS ABDUL BASIR .
This research studies the factors that affect volatility in cryptocurrency markets. The relationship between information asymmetry and cybercriminal risks are studied against the volatility and return of cryptocurrencies, namely, Bitcoin (BTC), Ethereum (ETH), Bitcoin Cash (BCH) dan Ripple (XRP). These cryptocurrencies are selected as they are cryptocurrencies that are being traded by Luno, Sinergy and Tokenzie (the exchange companies regulated by the Securities Commissions of Malaysia). 730 observations were collected for each cryptocurrency via the CoinMarketCap website, from 1 January 2019 to 30 December 2020. The ADF test and the Kolmogorov-Smirnov test have been conducted before the analysis of the data. The results show the stationarity and non-normality of the data collected. The EGARCH-GED model is used to analyse the relationship between information asymmetry and volatility. The findings indicate a significant relationship between information asymmetry and volatility in BTC, ETH ad XRP. The Event Study Method (ESM) is used to analyse the effect of cybercriminal risks on returns. The result shows that all four cryptocurrencies show a significant relationship between cybercriminal risks and returns.
The article discusses the V.V. Tselishchev’s original and unique systematic study of the specific and extremely complicated problems of Gödel results regarding the question of artificial intelligence essence. Tselishchev argues that the reflexive property should be considered not only as an advantage of human reasoning, but also as an objective internal limitation that appears in case of adding Gödel sentence to a theory to build a new theory. The article analyzes so-called mentalistic Gödel’s argument for fundamental superiority of human intelligence over machine one and the non-algorithmic nature of natural thinking. The discussion about the Gödel argument is not entirely speculative, but contains new knowledge. An example of such knowledge are the results of R. Smullyan levels of computers “awareness,” which are may be interpreted in a psychophysical sense. The concept of “zero level of intelligence” is proposed for such a reflexive property as “awareness of selfconsciousness.” Reflexive ranks below the awareness of self-consciousness can be considered negative levels of thinking in the sense that the intelligence, being reduced to them, significantly loses its completeness. Even self-consciousness turns out to be a negative level of thinking, since, according to Smullyan, the subject of self-consciousness is unaware of the type of thought to which he belongs. A thought experiment is proposed that allows us to establish the distribution of the properties of Smullyan stability and normality and to answer the question “Does an intuitive belief in the truth of a formal proof affect the truth of a proposition being proved?” According to intuitionism, the most unpleasant epistemic property is instability: beliefs that are not based on deep intuitions have no value. According to the constructivist philosophy of mathematics, instability is a less negative property than abnormality: the fact that high-ranking beliefs cannot be immersed to the very foundations is not significant because violation of truth due to lowering the rank of reflection is not critical.
<p>Bai Jie<sup>1,2</sup>, Du Yanhui<sup>1</sup>, Lu Tianliang<sup>1</sup></p>
This paper studies the sensitive information recognition and processing system in social online games. A real-time data mining framework for sensitive information on online games in the blockchain mode is proposed. A large-scale social online game chat room database is selected for testing, with SKLearn library based on Python is used for data preprocessing. The model training and verification are implemented through tensorflow. The results show that the accuracy of TextCNN is over 5% higher than that of Naive Bayes and CNN models for short text recognition in online game context, so TextCNN model can meet the requirements for high efficiency and accuracy of sensitive information recognition in large-scale online games. The conclusion proves that the blockchain-based online game sensitive information mining framework has the advantage of alliance chain hierarchical management, the characteristics of the distributed ledgers leaving traces in the whole process of information dissemination, and enhanced contract enforcement through the smart contracts and consensus mechanisms.
We studied the specific properties of the cryptocurrency market. Guided by the concept of implied volatility, we investigated the asymmetric reaction of the market to news. Based on the concept of realized volatility, we verified the hypothesis of herding behavior in the market. To test the properties of the market, we used a combination of methods, starting from the analysis of statistics of search queries, interpreted as proxies of information demand from professional market participants and the “wide crowd”, and ending with advanced Markov-Switching GARCH models and heterogeneous autoregressive models of realized volatility (HAR-RV-J-models). As a result, we found various types of asymmetric reactions of the cryptocurrency market to news related to both the general direction of its dynamics (growth or decrease) and the amplitude of return fluctuations (high or low volatility). During the upward price rally and overheating of the market, investors deliberately avoided the bad news; thereby the asymmetry in the cryptocurrency market was inverse (to the adopted leverage effect). On the contrary, during the downward price rally, market participants exhibited an overreaction to bad news. In addition, the asymmetric reaction to the news observed during the period of low market volatility actually disappeared when the amplitude of cryptocurrency return volatility increased. The behavior of short-term investors was also varied in the study period. While during the growth of the market, small speculators were more likely to follow their own trading strategies, during the hype they borrowed the trading practices of the largest players. We also revealed the effect of training among small investors: over time, they became less prone to provocations from large players, which did not allow the 2019 rally to surpass its counterpart in 2017 in terms of both return oscillations and duration.
The history of the development of electronic payment systems as a prerequisite for
 the emergence of cryptocurrencies is studied. The most popular cryptocurrencies are considered, their
 advantages and disadvantages are highlighted.
The paper analyzes global publications in blockchain research on a series of quantitative and qualitative indicators, using Scopus database. Blockchain research published a total of 4629 research publications in 9-year period during 2010-18. The publications registered a fast growth of 150.24 per cent and registered average citation impact per paper of 5.04. The paper profiles most productive countries, organisation, authors and journals on select bibliometric indicators. The top 29 highly-cited papers in this area are also analysed.
Jan 1, 2020·Proceedings of the 2nd International Scientific and Practical Conference “Modern Management Trends and the Digital Economy: from Regional Development to Global Economic Growth” (MTDE 2020)
Natalya N. Kovalyova, N.A. Zhirnova, М В Филимонова
The main attention is paid to the review of prospects in the field of legal regulation of such new financial instruments as cryptocurrencies as a type of electronic money. A number of bills and laws governing the public relations in question are analyzed. The problems that the Russian legislator is required to solve in order to ensure adequate legal regulation of new public relations are highlighted. The experience of some foreign countries in the field of legal regulation of cryptocurrencies is analyzed. It is concluded that today the development of the legal regime of new financial instruments, cryptocurrencies, is an urgent need. The lack of state regulation in the Russian Federation of electronic payments made in payment systems that use cryptocurrency as a means of transactions introduces confusion into society making the use of digital financial assets in the Russian Federation doubtful, which seems like a denial of world technology. Ultimately, the development of the Russian state depends on the fastest solution to this problem.
Adélia Cristina Peres Torrecillas, Rodrigo Sakayemura
In the last decade, cryptocurrencies have gained prominence in the media as a payment method or an investment, arisingthe importance to study the viability of their attachment in the Brazilian execution process. However, the pace at which technological innovations arise is not always accompanied by the law to regulate them, and any omissions should be analyzed by the Judiciary, applying the current law and making up any gaps, in order to provide effective jurisdiction. This article, therefore, intends to review the existing literature to briefly explain some aspects of attachment of property, to define the legal and technical concepts of cryptocurrencies, elucidating how they work and analyzing the possibility of their attachment. At last, it will be discussed about the best mode of procedure for attachment of cryptocurrencies, if allowed by law.
Анотація. У статті розглянуто процеси подальшої інтеграції сучасних інформаційних цифрових технологій в економіку країни, впровадження та широке використання електронних фінансових інструментів і технологій, тенденції їх поширення в Україні. Серед усього різноманіття технологій цифрової економіки, що розвивається прискореними темпами, особливе місце займають інноваційні технології у фінансовій сфері. Необхідність надійного та захищеного інформаційного забезпечення проведення фінансових операцій і взаємних
We have investigated processes of analysis, integration, and content generation, taking into consideration the needs of the user in cryptocurrency. By using the developed formal model and the performed critical analysis of methods and technologies for predicting the exchange rate of cryptocurrency, we have built a general architecture of the content processing system that acquires data from different cryptocurrency Internet stock exchanges. General functional requirements to the intelligent cryptocurrency system that target the Internet users have been stated. We have investigated methods, models, and tools to improve the effective support for developing structural elements in the model of a decision support system that manages content according to the user’s needs. general architectures of the backend and frontend parts of an intelligent cryptocurrency system have been devised. We also developed software for the system of integration and generation of content considering the cryptocurrency needs of users. An analysis of results of experimental verification of the proposed method for content integration and generation taking into consideration the cryptocurrency needs of users has been performed. A special feature of the system is that it analyzes information from social media and builds a forecast of currency rates based on the acquired information. A given system makes it possible to guess the trend in an exchange rate fluctuation. Conferences of a particular cryptocurrency, new implementations, government decrees from different countries, affect a trend as well, so it too must be taken into consideration. In order to account for most cases, it is necessary to constantly accumulate information on the subject and to assign it to Tables in a database. A given process takes place using a specialized software bot that collects and indexes information. The system is characterized by the following features that favorably distinguish it from analogs: the speed of page generation; the presence of SSL certificate and TLS encryption; content of better quality as it is updated every minute; there are no inactive sections of the service; the mobile web-site layout does not copy content at subdomain; automated checks against e-mail spam messages on the exchange rate. The focus of the system is on the frequency of updates at the speed of data aggregation from the Internet stock exchanges and social networks.
The purpose of this study was to analyze and understand the attitude of the millennial generation towards cryptocurrency. This topic of Cryptocurrency is in the growth stage and hence the understanding of the attitude of this generation shall be an addition to the current study available on cryptocurrencies. This dissertation will be beneficial to the upcoming or existing companies or offerers of cryptocurrency to estimate their future viability based on the millennial generation’s attitude. \nThe results were formed based on the data collected through interviews of eight millennials from different professional background but having awareness about cryptocurrency. The questionnaire was formed to collect data about knowledge, experience, trust, and other investment factors of the millennials towards cryptocurrency. The research aimed to analyze the data collected and conclude the overall attitude of millennial generation towards cryptocurrency. \nThis report focuses on the numerous factors and challenges that go into the decision-making process of the typical millennial investors. We can conclude that the millennials have positively accepted the concept of cryptocurrency but are doubtful when it comes to actual trading since they lack proper awareness and skills to do. But the experienced millennials have accepted it as a useful financial asset after. Thereby, the overall study on Cryptocurrency would help one to understand the merits and demerits of it in the present world along with the logical reasoning that has given a direction to the findings.
This paper aims to gain and improve understanding of the three most common cryptocurrencies (Bitcoin, Ethereum and Ripple) by applying standard econometric tools upon their time-series data.Cryptocurrencies' returns are compared to six major stock indices: two American (S&P500 and Russell 2000), one European (Stoxx 600), one Japanese (Nikkei 225), one Chinese (Hong Kong Hang Seng) and a global index (S&P Global 1200).The findings indicate that observed cryptocurrencies could be regarded as a new asset class, a fully digital, sui-generis financial instruments, as they are not coherently connected to the stock market.However, allocating capital into cryptocurrencies remains in the domain of pure speculation due to their strong volatility.
Tom Savel, Katherine Kuzmeskas, Chrissa McFarlane, Mihaela Ulieru
Session Description: Tokenization is a fundamental and transformation feature enabled via a blockchain. Tokenization is the digital representation of a real-world or digital asset of value (e.g., health data, real estate, music, insurance, advertising, art). Once tokenized, assets can be easily and securely exchanged. Within the healthcare ecosystem, these digital assets can be used for many different purposes (incentivizing positive health behaviors, reward data sharing, facilitate communication, assuring data quality, etc.). This session will discuss the transformational impact tokenization can have within the healthcare ecosystem. Topics will also include the use of next generation, non-fungible tokens (e.g., ERC-721, “CryptoKitties”). As every technology has its challenges, concerns and pitfalls around tokenization and the internet of value will be discussed.
One of the most popular platform based on blockchain technology is Ethereum. Internal activity on this public blockchain is analyzed both from a quantitative and qualitative point of view. In a first part, it is shown that the creation of the Ethereum Alliance consortium has been a game changer in the use of the technology. In a second part, the network robustness against attacks is investigated from a graph point of view, as well as the distribution of internal activity among users. Addresses of great influence were identified, and allowed to formulate conjectures on the current usage of this technology.
This study analyses the growing area of research that explores the evolution of technology from social and cognition perspective – and how the design and various implementation of technology are being shaped by the factors related to social-constructivism and beliefs systems of individuals. The newly developed technological phenomena of Cryptocurrency – the digital currency for all, provides us with an excellent case to study. We apply social and cognitive processes to understand technology trajectories across the life cycle of cryptocurrency. We thus deepen our understanding by analyzing why and what causes the various technological trajectories in the era of ferment and concluding our research by deriving various technological 'themes'. – that might evolve as the phenomena of cryptocurrency while moving towards the era of dominant design.