High Level Of Security Research Articles

Leveraging artificial intelligence to mitigate money laundering risks through the detection of cyberbullying patterns in financial transactions

Money laundering (ML) is a vital source to clean the money from the financial system with illegal funds. Corruption, exploitation of a given community, drug use, and much more are all associated with it. Due to the massive number of transactions worldwide, detection of ML operations is complex. But it makes it possible for criminals to exploit financial systems to facilitate illicit transactions. This is primarily about reducing the risk that someone will be out of pocket because of money laundering. AI- driven applications of AML tools are now monitoring transactions to deal with it. In total, 112 research papers are reviewed (identified the gap in literature) which serves as a guide for the future direction of this research domain. The outcome of this systematic literature review effort will not only pave the way for the research community, also aid the state agencies to formulate an ideal AML ecosystem to tackle these prominent concerns while ensuring a healthy environment for their inhabitants. Those starting points can be taken to evaluate the current state of affairs from diverse perspectives and pave the way towards future research directions to explore and develop the high levels of authenticity and security that artificial intelligence (AI) can bring to the finance sector.

Halogen Engineering and Solvent-Induced Strategies Regulate Structural Transitions and Luminescence Switching of Hybrid Copper(I) Halides.

Copper-based halides have attracted significant attention due to their unique photophysical properties and diverse coordination configurations. However, enhancing water stability and modulating structural transitions in cuprous halide materials remain challenging. In this work, we successfully synthesized three copper(I) halides, (C24H28P)CuBr2 (L1, [C24H28P]+ = hexyltriphenylphosphonium), (C24H28P)2Cu4Br6 (L2), and (C24H28P)2Cu4I6 (L3), via solvent volatilization, demonstrating exceptional water stability even after 27 days of submersion. Crystals L1 and L2 emit yellow and orange light, respectively, under ultraviolet excitation, while L3 emits green light when excited by blue light. A rapid phase transition between L1 and L2 occurs when stimulated with methanol at room temperature. Further exposure of L2 to a NaI solution can result in substitution of Br- ions by I- in [Cu4Br6]2- to form L3. Multimodal anticounterfeiting luminescent labels with high-security levels have been successfully manufactured based on sequential L1 → L2 → L3 phase transition. Moreover, a test paper designed based on L1 can be applied for low-level methanol detection. This work successfully accomplishes the coregulation of structural transformations and luminescence switching in copper(I) halides by combining methanol simulations with halogen substitution strategies, which not only deepens the understanding of the structure-property relationships but also broadens the optical applications of these materials.

Methodological support of the educational and training process of members of the national academy of the Security Service of Ukraine in hand-to-hand combat

The article considers the problem of theoretical and methodological support of the educational and training process of members of the hand-to-hand combat team of the National Academy of the Security Service of Ukraine. Mastering martial arts by cadets of higher military educational institutions of Ukraine is of particular relevance in modern conditions, which are characterized by an increased level of threats to the security of the state and citizens. Martial arts help develop strength, endurance, reaction speed, and coordination of movements, which are necessary for performing official duties in difficult conditions. Learning self-defense techniques, neutralizing an opponent without the use of weapons, is critically important for working in situations where the use of firearms is impossible or impractical. Research methods: analysis and synthesis, induction and deduction, generalization and concretization, classification and systematization, modeling, historical method, logical method, comparative (comparative) method, formalization, forecasting, abstraction, hypothetical-deductive method. The article focuses on the importance of systematic and comprehensive training of athletes to ensure their high level of physical and psychological readiness for competitions and the performance of assigned tasks. A modern approach to planning the educational and training process has been developed and substantiated, which takes into account the specifics of the activities of employees of the Security Service of Ukraine. The proposed methodological recommendations are aimed at improving the technical- tactical, physical and moral-volitional training of athletes. The results of the study confirmed the effectiveness of the developed methodological support, which contributes to improving the sports results of team members and their readiness to perform professional duties in stressful and extreme conditions. Mastering martial arts by cadets of the National Academy of the Security Service of Ukraine is not only a means of professional training, but also an important factor in their psychological, physical and moral readiness to perform tasks in the face of modern challenges. This not only contributes to their personal development, but also ensures a high level of security for the state and citizens. Prospects for further research in the chosen direction of scientific exploration involve the development of an experimental training program for representatives of the studied category (annual training cycle).

Crayfish optimization based pixel selection using block scrambling based encryption for secure cloud computing environment

Cloud Computing (CC) is a fast emerging field that enables consumers to access network resources on-demand. However, ensuring a high level of security in CC environments remains a significant challenge. Traditional encryption algorithms are often inadequate in protecting confidential data, especially digital images, from complex cyberattacks. The increasing reliance on cloud storage and transmission of digital images has made it essential to develop strong security measures to stop unauthorized access and guarantee the integrity of sensitive information. This paper presents a novel Crayfish Optimization based Pixel Selection using Block Scrambling Based Encryption Approach (CFOPS-BSBEA) technique that offers a unique solution to improve security in cloud environments. By integrating steganography and encryption, the CFOPS-BSBEA technique provides a robust approach to secure digital images. Our key contribution lies in the development of a three-stage process that optimally selects pixels for steganography, encodes secret images using Block Scrambling Based Encryption, and embeds them in cover images. The CFOPS-BSBEA technique leverages the strengths of both steganography and encryption to provide a secure and effective approach to digital image protection. The Crayfish Optimization algorithm is used to select the most suitable pixels for steganography, ensuring that the secret image is embedded in a way that minimizes detection. The Block Scrambling Based Encryption algorithm is then used to encode the secret image, providing an additional layer of security. Experimental results show that the CFOPS-BSBEA technique outperforms existing models in terms of security performance. The proposed approach has significant implications for the secure storage and transmission of digital images in cloud environments, and its originality and novelty make it an attractive contribution to the field. Furthermore, the CFOPS-BSBEA technique has the potential to inspire further research in secure cloud computing environments, making the way for the development of more robust and efficient security measures.

Application of MXene Materials in Aqueous Zinc-Ion Batteries

As the global requirement for renewable energy grows, zinc-ion batteries (AZIBs) are an ideal replacement for lithium-ion batteries due to their plentiful zinc resources, inexpensive, and high level of security. Nevertheless, the energy density, circulation reliability, and zinc dendrite formation issues of AZIBs limit their widespread application. MXene materials, featuring a distinctive two-dimensional structure，high-conductivity, and abundant surface functional groups, show great potential in the cathode, anode, separator, and electrolyte of AZIBs. This study systematically explores the applications of MXene materials in various AZIB components, including their roles in enhancing zinc ion transport efficiency, suppressing dendrite growth, and improving battery cycling life.

Feistel inspired novel hybrid cryptosystem for information secure processing

In this paper, we propose a novel hybrid encryption algorithm that enhances security by integrating DNA encoding, the Rabin algorithm, a one-time pad (OTP), and a Feistel-inspired structure. The algorithm begins with the application of a DNA-based OTP key, used exclusively for a single secure communication session. In the second step, it combines public and private keys to generate a Rabin key. By incorporating a Feistel-inspired scheme and leveraging the inherent randomness of DNA sequences, the resulting ciphertext achieves a high level of security, making it significantly more challenging to decrypt without the private key.

Economic security of Ukraine under martial arts

The purpose of this article is to determine the essence, problems and prospects for the development and maintenance of a stable level of economic security of Ukraine. The research methods used in the article are: induction, synthesis, analysis, comparison, generalization and graphical method. The theoretical foundations and essence of economic security are determined. The main problems of economic security that arose in Ukraine during the period of full-scale invasion are investigated. The indicators of security and economic development of the country for the period 2019–2023 are determined, and their dynamics are characterized over the five years under study. The study of the dynamics of the level of economic security of Ukraine for the period 2019–2023 by individual components and an integral indicator. The directions and probable prospects for ensuring the economic security of the state during military conflicts and in the process of further restoration of the country’s economy are determined. Methods that can be used to maintain a high level of economic security of the country are presented, among which it is worth noting: diversification of the economy, which will reduce risks and ensure the sustainability of economic development; development of reserve markets, which may in the long term reduce the possibility of restricting foreign trade and access to resources; infrastructure protection, which involves ensuring the security of critically important facilities, such as energy systems, highways and communication networks; resource mobilization, which involves the accumulation and attraction of financial resources, in particular from foreign investors; development of reserve energy sources involves ensuring energy security; preservation of human capital. Key areas of reforming the country’s economy in the face of a full-scale invasion have been identified. The main sectors on which economic security should be based in the direction of restoring the viability of sectors of the economy, which in the pre-war period had the largest share of GDP, have been identified. Probable prospects for the development of the metallurgical, agro-industrial and service sectors have been identified.

Web-based Biometric Authentication System for Health tracking Application

As technology advances, passwordless authentication is becoming increasingly important for web applications, especially for secure and user-friendly login systems. Biometrics-based authentication offers a promising alternative to traditional password systems, providing greater security and convenience. However, its usability and effectiveness in real-world web applications, particularly in sectors requiring high security like health monitoring, require further investigation. While much of the current research has primarily focused on the security benefits of biometric systems, particularly on mobile devices, there is a gap in understanding their impact on user experience and practical implementation in web applications. Limited research has evaluated how well biometric authentication performs in terms of user satisfaction, ease of use, and technical reliability in such environments. This project develops a health tracker web application incorporating biometrics-based authentication using Passage and NextAuth.js. The study evaluates the system's usability through both quantitative metrics—such as an 85% success rate of biometric logins and authentication times averaging 2.5 seconds—along with qualitative user feedback on the overall experience. User interactions were recorded, and surveys gathered insights into perceived ease of use and satisfaction. The results demonstrate that biometric authentication significantly improves user convenience while maintaining a high level of security. Success rates for biometric logins were high, and authentication times were faster compared to traditional methods. Users reported a positive experience, indicating that biometrics reduced login friction and increased overall satisfaction with the application. These findings suggest that biometric authentication is not only secure but also highly usable in web applications. These insights can guide developers in designing more user-friendly authentication systems, especially for health-related web platforms, where security and ease of use are both critical.

Expanding the practice of using blockchain technology as part of registration procedures for the protection of copyright objects

The subject of the article is the legal forms of using blockchain technology in the framework of registration procedures for the protection of copyright objects. The objects of copyright reveal a creative nature, that is, a combination of signs of originality and uniqueness, which actualizes the search for the most effective mechanisms that would allow combining the possibility of public registration of creative works with their inviolability (immutability). Blockchain technology, which provides a high level of security for information placed within a decentralized data system, allows for the openness and inviolability of information about copyright objects. The article also raises the problem of using blockchain technology to register copyright objects created by joint efforts of humans and artificial intelligence. As a result, a law-making solution is proposed to the issue of distinguishing the results of artificial intelligence and human work when registering created works in public registers of information. Based on the use of a systematic approach and formal legal analysis, the article examines the current aspects of the use of public registers of copyright objects as a form of their registration, facilitating the process of proving facts related to the creation of creative works. The introduction of blockchain technology can significantly change approaches to the legal protection of copyright objects. The creation of a public registry based on this technology will ensure a higher level of transparency and accessibility of information about works, which, in turn, will greatly facilitate the process of proving authorship and rights to use works. However, in order to realize these opportunities, it is necessary to develop appropriate legal mechanisms that take into account the specifics of technologies. The integration of blockchain technologies into the field of copyright can help create a more flexible and adaptive legal environment that will take into account the needs of authors and ensure reliable protection of their creative works in the context of digitalization. As a direction for the development of legislation on the registration of copyrighted works in public registers of information created on the basis of blockchain technology, which are the result of joint human creativity and artificial intelligence technologies, it is proposed to grant the copyright holder of these objects of intellectual property rights the right to indicate his name or title on copies or components of such a work.

آلية إدارة مفتاح RSA المحسّنة لحماية حزم التحكم في شبكات تبديل الاندفاع البصري

Optical Burst Switch (OBS) network is a typical technology currently proposed, as an infrastructure to deal with most highly demanded communication services. OBS architecture consists of Data Burst (DB) as a payload and Burst Header Packet (BHP) as a control packet. BHP carries important information about path reservation and its corresponding DB. However, the information security (Privacy, Reliability, Confidentiality, Integrity, Availability, Authentication, and Authorization) of OBS network communication has been represented as the current issues, which affect the network performance in terms of data loss and data transmission delay. This paper focuses on security weaknesses of BHP transmission in OBS network against Data Burst Redirection (DBR) Attack. The current paper was conducted to develop a protection mechanism to ensure the confidentiality and authentication of BHP. In OBS, RSA public-key encryption algorithm has been enhanced and integrated. Moreover, the Self-Controlling key distribution technique has been implemented to ensure a high security level of key transmission between each pair of OBS nodes. Three different OBS environments have been designed and implemented. These environments were established on the bases of three different concepts; OBS Topology without Security Measures and without Security Attacks, OBS Topology under Security Attacks without Security Measures, and OBS Topology under Security Attacks with Security Measures. The obtained results are based on Burst Loss Ratio, Throughputs, and Average Delay Ratio. Such a result has successfully proved the trustworthiness and efficiency of Control Packet Protection Technique (CPPT-OBS) to prevent DBR attack. Keywords: OBS , DB, BHP, DBR, RSA, CPPT

Innovative Security Framework for Enhancing Data Protection in Mobile Cloud Environments

Abstract: There is especially a challenging problem for secure communications in the last few years among the resource-poor environments like IoT devices and embedded systems which had driven the research to lightweight cryptography algorithms, performing wonderfully on the constraints of computations, memory, as well as also energy resources. It involves the implementation along with performance analysis of probably the most impressive lightweight block ciphers, such as SIMON, SPECK, and HIGHT. It also encompasses ECC as a safe alternative substitute to the traditional ones that contain AES. SIMON and SPECK are new-generation lightweight block ciphers developed by NSA for hardware efficiency so that performance is maximized at low speeds with very high levels of security. Also included are the performance characteristics of HIGHT, which is a specially designed block cipher for environments with very low resources. ECC is presented as the asymmetric encryption algorithm that provides at least some level of security yet its key sizes are dramatically smaller than the counterparts making it well applicable within these environments. In addition, an overall comparison in the aspect of the computational cost, usage of the memory, and the security level among the algorithms is made

АНАЛІЗ МЕТОДІВ РОЗПІЗНАВАННЯ ЗОБРАЖЕНЬ ТА ЇХ КЛАСИФІКАЦІЯ

In the context of the Russian-Ukrainian war, new challenges arise for electronic intelligence. The radio frequency spectrum is saturated with various types of signals, and modern communications have a high level of security. An important stage of signal processing at electronic intelligence posts is their recognition. Most weapons automatically recognize signals by measuring their input parameters, however, due to the low signal-to-noise ratio, this process can be difficult. Nevertheless, almost all modern electronic intelligence equipment displays spectrograms on which the signal can be clearly recognized by human vision. Given the widespread use of image recognition technologies in various industries, it is important to consider the methods and techniques of this process and explore the possibility of using them to solve the problem of signal recognition. The article discusses the concept of artificial intelligence with a special emphasis on the role of computer vision in this field. A classification of image recognition methods is carried out according to the scheme developed on the basis of approaches. In addition, the main stages of computer vision are analyzed, including their functional components and content. Particular attention is paid to the methods of pattern recognition, in particular to the three main types of these methods. The three main types of image recognition methods are distinguished, and their advantages and disadvantages are analyzed. The article also provides practical examples of the implementation of these methods. The final stage of the study was the selection of a method for further experimental and theoretical research.

Deteksi Kerentanan Keamanan Dan Mitigasi Situs Web Crowdo.Co.Id Berbasis OWASP Zed Attack Proxy (ZAP )

This study aims to analyze security vulnerabilities and mitigation on the crowdo.co.id website using the OWASP Zed Attack Proxy (ZAP) tool, which is a web application security testing tool. High-level security attacks have increasingly risen alongside the advancement of information technology, making vulnerability testing crucial to ensure the integrity and security of information systems. This research involved scanning the crowdo.co.id website to identify various vulnerabilities, including those listed in the OWASP Top 10. The research process encompassed active and passive scanning, data analysis from the scans, and the formulation of mitigation strategies for each identified vulnerability. The findings revealed that the website had 14 detected vulnerabilities, consisting of 1 high-priority vulnerability, 3 medium-priority vulnerabilities, 7 low-priority vulnerabilities, and 3 additional informational alerts. The security dimensions tested included potential XSS attacks, SQL Injection, and other deficiencies that could jeopardize user data. Based on these results, recommended mitigations include code improvements, enhanced security configurations, and the implementation of additional preventive measures. This study concludes that while the website’s security is in the medium category, further improvements are necessary to reduce vulnerability risks. Through this approach, the study provides significant contributions to enhancing web application security.

A Country Risk Assessment from the Perspective of Cybersecurity in Local Entities

The number of vulnerabilities identified annually has increased substantially, thereby raising the risks associated with online services. The implementation of cybersecurity management measures in accordance with the European NIS2 Directive is optional at the local authority level. This study analyzes the external perimeter of nearly 7000 municipalities and proposes a simplified security framework that provides a comprehensive view of security across regions. A complete data set was assembled on the Technological and Competence profiles of all municipalities in Spain over a two-year period. The data were gathered from the external perimeter in relation to security, availability and SEO posture areas. A survey was conducted to determine the level of concern among citizens regarding cybersecurity issues in online municipal services, with 188 respondents. Some regions were identified as exhibiting particularly high and homogeneous levels of security. In contrast, other regions were found to be below the expected level. The presence of supra-local entities, such as the “Diputaciones”, has been demonstrated to facilitate the harmonization of regional security, while simultaneously reducing technological fragmentation and operational expenditure.

Existential unforgeability in quantum authentication from quantum physical unclonable functions based on random von Neumann measurement

Physical unclonable functions (PUFs) leverage inherent, nonclonable physical randomness to generate unique input-output pairs, serving as secure fingerprints for cryptographic protocols like authentication. Quantum PUFs (QPUFs) extend this concept by using quantum states as input-output pairs, offering advantages over classical PUFs, such as challenge reusability via public channels and eliminating the need for trusted parties due to the no-cloning theorem. Recent work introduced a generalized mathematical framework for QPUFs. It was shown that random unitary QPUFs cannot achieve existential unforgeability against quantum polynomial time (QPT) adversaries. Security was possible only with additional uniform randomness. To avoid the cost of external randomness, we propose a novel measurement-based scheme. Here, the randomness naturally arises from quantum measurements. Additionally, we introduce a second model where the QPUF functions as a nonunitary quantum channel, which guarantees existential unforgeability. These are the first models in the literature to demonstrate a high level of provable security. Finally, we show that the quantum phase estimation (QPE) protocol, applied to a Haar random unitary, serves as an approximate implementation of the second type of QPUF by approximating a von Neumann measurement on the unitary's eigenbasis. Published by the American Physical Society 2024

METHOD FOR IMPROVING SECURITY OF IOT DEVICES PAIRING

Background. The usage of IoT technologies leads to the social, technological and financial development of society. While complex systems play an important role in the IoT, the design, integration and use of simple devices really drive the technology's widespread adoption. At the same time, ensuring a high level of security for simple IoT devices is a difficult task. The reasons for this are device limited computing resources and low power consumption requirements. It prevents the implementation of most modern cryptographic protocols for simple IoT devices. From a security point of view, the most critical communication stage is device pairing, when shared encryption keys are formed to establish a secure communication channel. Objective. The purpose of the paper is to analyse the main vulnerabilities of a simple IoT device pairing process and develop a method for improving security of this process. The method should provide proximity-based device authentication and pairing process protection against known attacks, such as man-in-the-middle attack. Methods. The method of pairing process security improvement includes proximity-based device authentication using analysis of the wireless signal strength. The security of the authentication method is proven analytically and by results of practical experiments with measurement of wireless signal strength change with distance and obstacles between devices. Results. Performed research demonstrated that the proposed method guarantees secure user authentication at a close distance between devices and protection against attacker located at least 10 meters from the paired device. Provided theoretical calculations and experimental results show that the level of attacker's wireless signal power increase required for a successful attack exceeds technical capabilities of existing communication devices. Conclusions. The article solves an important issue of improving the security of simple device pairing. The proposed method of proximity-based IoT device authentication provides pairing process protection against man-in-the-middle attacks. Mathematical calculations were confirmed by conducting a number of experiments to research wireless signal power change depending on the distance and types of obstacles between devices. The proposed authentication method can be integrated into the existing JustWorks protocol for connecting simple IoT devices using the BLE communication channel.

Development and Implementation of an ESP32 Microcontroller and Monitoring System for Smart Door Lock Using RFID Sensor for E-KTP ID and Fingerprint Based on the Internet of Things

This study aims to improve the effectiveness and efficiency of door security systems by integrating RFID technology, fingerprint recognition, and the Internet of Things (IoT). This system not only enables automatic locking but also provides real-time access control and monitoring through a web-based application. The technology supports high-level security through dual authentication methods, using E-ID cards and fingerprint sensors. Additionally, the implementation of IoT allows users to monitor and manage door access remotely, offering added flexibility and convenience. The system's trial shows high reliability in reading RFID and fingerprint data, with significant accuracy in various conditions. The results of this study contribute to the development of modern security solutions that can be applied in various environments, such as residential homes, offices, and public facilities, with the potential to reduce overall crime rates

Blockchain for Managing Citizens’ Data: Bibliometric Analysis and Systematic Literature Review

Introduction: Blockchain is an advanced technology that ensures a high level of data transparency and security by utilizing a distributed mechanism in storing and managing data. While currently blockchain is mostly utilized to facilitate cryptocurrency transactions due to its capability in securing data, blockchain also has the potential to store and manage various data, including government data. This research aims to reflect in the literature on trends in the application of blockchain technology in citizen data management and e-Government systems, focusing on trends, architectural design and the sector of the implementation of this technology. This research will also investigate data integrity and population accountability. This study seeks to provide insight into the challenges and application of blockchain technology in governance systems through several research questions.Methods: The PRISM method is used as a guide for conducting literature review analysis starting from defining literature eligibility criteria, defining information sources, conducting filtering, and data analysis.Results: Based on the results of the literature review, several previous studies have integrated Blockchain with IoT to increase supply chain transparency. Meanwhile, in e-government systems, several Blockchain implementations are used for decentralized identity verification to ensure the integrity and privacy of demographic data.Conclusions: Previous research shows that Blockchain technology has the potential to improve efficiency, security and transparency in various fields, especially in data management and governance.

A Secure Data Hiding For H.264 Video Based on Chaotic Map Methods and RC4 Algorithm

Video steganography is the common field of data security in digital communication where data include text, image, and video. Compressed video is the suitable modern source for hiding huge secret data that will trust security. This work proposed a compressed video steganography scheme for hiding cipher secret data in high security levels. The proposed work consists of three phases, protected secret data (Text English and Arabic, Images, and Video) based on proposed chaotic maps module and RC4 algorithm. The chaotic maps module is a combination between (honen map and sine map) with simple operations to protected plain data. Second phase, hidden cipher secret data between the quantized discrete cosine transform (QDCT) and entropy coding from the inter-prediction mode at the H.264/AVC video frames using Least Significant Bit (LSB) replacement. Third phase, transmit and receive secret data. The experimental result shows that the proposed scheme is high-security level where was cipher secret data with the average entropy value of (7.993), an average PSNR value of (8.790 dB), an average correlation value of (3.4x 10-3), key length is 228 bit and key space is 2228. Moreover, measured Randomness to generation key by NIST were succeeded in all the tests and Robustness, imperceptibility, and embedding capacity are high while maintaining visual quality, where the average PSNR value of (36.26 dB), and the average SSIM value of (0.95).

RESEARCH OF THE CRYPTOCURRENCY MARKET AND FORMATION OF DIRECTIONS FOR IMPROVING ITS INFRASTRUCTURE

The article analyses the cryptocurrency market and formulates promising directions for improving its infrastructure. The main share of the crypto market is accounted for by Bitcoin, although its percentage is declining against the background of the growth of shares of other cryptocurrencies, such as Ethereum. The paper conducts an expert assessment of the use of traditional money and cryptocurrencies in terms of meeting the needs of users, with the authors emphasising the advantages of cryptocurrencies: speed and low transaction costs, high level of data security, and high divisibility. However, there are also disadvantages, such as the complexity of use, regulatory issues, risks of high issuance, and the emergence of new, insufficiently regulated cryptocurrencies. The study includes a PEST analysis that demonstrates the impact of political, economic and technical factors on the development of the crypto market. The authors note that regulation can have both a positive and negative impact on the investment attractiveness of cryptocurrencies. In addition, the influence of external factors, such as economic crises, also contributes to the growth of interest in digital assets. The article presents the results of forecasting the total market capitalisation of Bitcoin and the entire cryptocurrency market, which in 2028 will amount to about USD 1.101 trillion and USD 1.941 trillion, respectively. USD and 1.941 trillion USD, respectively. Based on the research of the current state of development of the cryptocurrency market, the author formulates directions and measures for improving the cryptocurrency market and its infrastructure, and also provides the planned effect of their implementation. The main areas of improvement are: development of regulatory and legal support, formation of fiscal policy, introduction of an acquiring system and free circulation of cryptocurrencies in the banking system. This is aimed at increasing investment attractiveness and market development. The study indicates the importance of further studying the theoretical and methodological aspects of crypto market regulation to ensure its stable development and competitiveness of Ukrainian companies.