This study investigates the transformative potential of blockchain technology in financial accounting by examining its applications, challenges, and implications. The study begins with a review of blockchain’s origins and its ability to address inefficiencies, fraud risks, and transparency limitations in traditional accounting. A mixed-methods approach was employed, combining qualitative thematic analysis and quantitative statistical techniques. The qualitative analysis involved thematic coding of data from case studies and organizational reports, while the quantitative analysis assessed financial data using descriptive and inferential statistical methods. Eight organizations from diverse industries—including banking, retail, and technology—were purposively sampled to capture varied experiences and applications of blockchain technology. Key findings reveal blockchain’s ability to enhance transparency, efficiency, and security in financial transactions, offering significant advantages for financial reporting and auditing. However, challenges such as regulatory uncertainties, scalability concerns, and technical complexities remain barriers to its widespread adoption. This research provides actionable recommendations to overcome these challenges and maximize blockchain’s benefits in financial accounting. By integrating theoretical insights with empirical evidence, this study contributes to advancing the understanding of blockchain’s role in transforming financial practices, offering practical guidance for academia and industry practitioners alike.
The article is devoted to the analysis on a crypto assets smart contract in the civil law and common law jurisdictions and the implementation of the best practices into Ukrainian law. It is argued that the essence of a crypto assets smart contract is that it is a self-executing contract which is represented and executed by a computer program, remains unchanged and unstoppable after the creation of this contract, and its terms are included in the internal functions of a decentralized database which is not controlled by the databases of the parties to the contract or third parties. It is noted that a cryptoasset smart contract, like any contract, may be declared invalid if the will to conclude it does not meet the conditions for the validity of this transaction, regardless of the form in which this transaction is concluded, as in this case in the form of a computer code. It is also stated that the terms of a cryptoasset smart contract must be specific (clear, unambiguous), feasible (objective), legitimate, and capable of automation (no evaluative terms, such as “reasonable time,” may be used), exist within the blockchain platform (on which cryptoassets are currently transacted) and not involve obtaining and confirming information from outside (in this regard, the terms of force majeure are not specified in the smart contract). The study applies dialectical, comparative legal, formal and logical, and systemic and structural methods of scientific knowledge. It is proved that a smart contract is a contract which is represented and executed by a computer program, the components of which are a computer code, some or all of the terms of this contract which are fulfilled upon the occurrence of predefined events, are stored in an electronic register system which records the result of execution of this program, and the contract itself cannot be changed and is executed in accordance with the programmed instructions of the computer program. The author concludes that the determination of the person who is legally liable when a smart contract fails to perform the programmed function depends on the terms of the smart contract, and in their absence, the provisions of applicable law regarding the legal consequences of non-performance of the contract and liability for such non-performance should be used.
The integration of Decentralized Finance (DeFi) into Financial Planning and Analysis (FPA) systems marks a pivotal transformation in corporate financial management, presenting organizations with unprecedented opportunities for operational efficiency, risk management, and strategic advancement. This article provides a comprehensive examination of the implementation framework, challenges, and strategic implications of incorporating DeFi technologies into traditional FPA systems. The article analyzes the technical architecture required for successful integration, including smart contract implementation, decentralized liquidity mechanisms, and blockchain-based audit systems, while addressing critical considerations in regulatory compliance and organizational change management. The article reveals significant potential for cost reduction, improved process efficiency, and enhanced risk management capabilities through DeFi integration while highlighting the importance of robust security protocols and governance frameworks. The article also identifies emerging opportunities in artificial intelligence integration, cross-chain interoperability, and industry-specific applications, offering valuable insights for organizations navigating this technological transformation. Furthermore, the article examines implementation challenges and provides strategic solutions for organizations undertaking DeFi integration initiatives. The article demonstrates that while the integration process presents complex technical and organizational challenges, the potential benefits in terms of operational efficiency, cost reduction, and competitive advantage make it a compelling strategic initiative for forward-thinking organizations. This article contributes to the growing body of knowledge on DeFi implementation in corporate settings and provides practical guidelines for organizations seeking to leverage blockchain technology in their financial operations.
Blockchain technology has emerged as a pivotal solution for enhancing security in financial transactions through its decentralized architecture. Traditional financial systems are often vulnerable to fraud, data breaches, and single points of failure due to centralization. Blockchain, with its distributed ledger system, ensures transparency, immutability, and security by verifying transactions across a network of nodes without relying on a central authority. This decentralized approach mitigates the risks associated with centralized databases, such as hacking or unauthorized access. Blockchain’s cryptographic algorithms safeguard transaction integrity and protect sensitive financial information. Smart contracts automate processes, reducing human error and the need for intermediaries, thereby increasing efficiency while lowering operational costs. Despite its benefits, challenges remain, including scalability issues, regulatory hurdles, and energy consumption. As blockchain technology continues to evolve, it holds the potential to revolutionize financial transactions, offering a robust, secure, and transparent framework for future financial systems. This paper explores the mechanisms behind blockchain security and its impact on modern financial infrastructures.
Blockchain technology plays a pivotal role in enhancing the security of financial systems, providing a robust framework to prevent cyber fraud. As cyber threats in financial transactions escalate, blockchain's decentralized and tamper-resistant nature offers an innovative solution for fraud mitigation. By leveraging distributed ledger technology (DLT), blockchain ensures transparency, traceability, and immutability in transactions, significantly reducing the risk of unauthorized alterations or manipulations. Smart contracts, a feature of blockchain, automate and secure transactions, minimizing human error and preventing malicious interventions. Additionally, consensus mechanisms like proof-of-work and proof-of-stake enhance security by requiring agreement from multiple nodes before validating a transaction, thus eliminating the risk of single points of failure. Financial institutions adopting blockchain can secure payment processing, authenticate identities, and prevent fraudulent activities such as double-spending or phishing attacks. Blockchain also ensures compliance with regulatory standards through real-time auditing and secure data sharing between financial entities. However, despite its advantages, challenges like scalability and regulatory acceptance remain. This paper explores the potential of blockchain in preventing cyber fraud within financial systems, highlighting its impact on security, trust, and fraud detection, while addressing existing challenges in adoption and implementation.
Digitalization is a leading trend that has a significant impact on the future development of the entire global economy. New technologies are radically changing the existing architecture of the traditional financial market and creating new ways of financing and alternative financial instruments. The most demanded and rapidly developing technology in the financial market is the technology of “tokenization” of assets based on blockchain technologies. The purpose of this study is to study the scientific and applied foundations of digitalization of financial rights and analyze trends in the development of the digital instruments market as an alternative segment of the traditional financial market. The research was based on scientific articles, statistical and analytical data from regulatory authorities and professional participants in the financial market. This article will focus on digital financial instruments created on digital platforms regulated by the Bank of Russia and representing digital rights — digital financial assets (DFA) and utilitarian digital rights (UDR). In Russian theory and practice, there is a high theoretical, methodological and methodological uncertainty of concepts related to digital financial instruments. In this context, it is relevant to study the concepts of “digital rights”, “utilitarian digital rights”, “digital financial assets”. The conducted research has shown the need to form an innovative infrastructure for DFA in Russia based on the principle of maintaining a balance between the development of distributed ledger technology (decentralization) and government regulation (centralization).
This paper analyzes smart contracts and the possibilities of applying legal regulation to them. Since smart contracts are not specifically regulated in the Republic of Croatia, the paper considers the possibility of applying European secondary law and Croatian civil law. In doing so, we consider the mode of operation of smart contracts, as well as the various systems by which they can function. Then we determine whether a smart contract is a contract at all and what are the legally relevant features of smart contracts that could help us classify smart contracts. Accordingly, we determine the differences between smart contracts based on the public (decentralized) blockchain and smart contracts based on the private (centralized) blockchain, as well as the differences between the so-called strong and weak smart contracts. From the legal aspect, we analyze the method of concluding smart contracts, their execution, terms of the contract and its interpretation, as well as the fulfillment of the contract itself. The mentioned aspects are considered and compared from the aspect of the applicable law, and special attention is paid to voidability of smart contracts and termination due to non-performance, as well as consumer protection.
Santiago Carbó-Valverde, Pedro J. Cuadros‐Solas, Francisco Rodríguez Fernández
Acknowledging the potential threats posed to financial stability by owning cryptoassets combined with a lack of financial literacy, this paper investigates the relationship between financial literacy and cryptocurrency ownership using machine learning methods. Analyzing 2121 survey responses, it shows that financial literacy emerges as a crucial factor in cryptocurrency ownership, even when accounting for other factors such as age, income, and digital activity. A neural network model reveals that a unit increase in financial literacy reduces the probability of cryptocurrency ownership by 0.2. Causal forest analysis indicates that financial literacy bias positively impacts ownership likelihood (a point estimate of 75.30 %). However, the bias-corrected financial literacy measure has a negative effect of −25.40 % on ownership likelihood. This reveals that cognitive biases, particularly overconfidence, as a significant influence on cryptocurrency ownership. These results show that individuals with more financial literacy and with less biased self-assessments are less likely to hold cryptocurrencies.
This article offers a clear and approachable introduction to the evolving landscape of money and the frictions developing between traditional government control and decentralized finance (DeFi). Tailored for readers with a basic awareness of cryptocurrency but limited familiarity with its broader implications, the article demystifies DeFi by explaining its core concepts including blockchain, Centralized Bank Digital Currencies (CBDCs), and the historical role of government regulation of money through central banking. Against this backdrop, it examines the transformative potential of DeFi, emphasizing the growing tension between the centralized authority of governments and the decentralized ideals driving this new financial model. While governments seek to maintain stability and control, individuals increasingly gravitate toward the more affordable, efficient, and inclusive solutions promised by DeFi. Designed to empower readers with a better grasp of the forces shaping the future of finance, this article underscores the importance of understanding the delicate interplay between governmental oversight and decentralized innovation. As the digital economy expands, this dynamic struggle will influence not only economic policies but also person-al financial choices and access to resources.
With the widespread adoption and increasing application of blockchain technology, cryptocurrency wallets used in Bitcoin and Ethereum play a crucial role in facilitating decentralized asset management and secure transactions. However, wallet security relies heavily on private keys, with insufficient attention to the risks of theft and exposure. To address this issue, Chaum et al. (ACNS’21) proposed a “proof of ownership” method using a “backup key” to prove ownership of private keys even when exposed. However, their interactive proof approach is inefficient in large-scale systems and vulnerable to side-channel attacks due to the long key generation time. Other related schemes also suffer from low efficiency and complex key management, increasing the difficulty of securely storing backup keys. In this paper, we present an efficient, non-interactive proof generation approach for ownership of secret keys using a single backup key. Our approach leverages non-interactive zero-knowledge proofs and symmetric encryption, allowing users to generate multiple proofs with one fixed backup key, simplifying key management. Additionally, our scheme resists quantum attacks and provides a fallback signature. Our new scheme can be proved to capture unforgeability under the computational indistinguishability from the Uniformly Random Distribution property of a proper hash function and soundness in the quantum random oracle model. Experimental results indicate that our approach achieves a short key generation time and enables an efficient proof generation scheme in large-scale decentralized systems. Compared with state-of-the-art schemes, our approach is applicable to a broader range of scenarios due to its non-interactive nature, short key generation time, high efficiency, and simplified key management system.
This paper examines the impact of Federal Reserve (Fed) monetary policy announcements on the cryptocurrency market, focusing on immediate market reactions. Using a sample of 57 monetary policy announcements from January 2018 to September 2024, the analysis distinguishes between expected and unexpected rate changes and isolates the unexpected component, constructing a measure of “surprise” rate changes with Federal funds futures data. The results indicate that unexpected policy changes exert a moderate negative effect on cryptocurrency returns, whereas expected changes have a small impact. The findings contribute to the literature by extending event-study methodologies to cryptocurrencies and, within the cryptocurrency literature, by focusing on the broad cryptocurrency market to offer a comprehensive perspective on market-level effects.
Dünyada en çok rağbet gören kripto para birimi olması nedeniyle Bitcoin (BTC), yatırımcılar ve araştırmacılar için son yıllarda dikkat çekici hale gelmiştir. Merkezi bir para birimi olmaması ve spekülasyonlara açık olması BTC fiyatında yüksek oynaklığa sebep olmaktadır. BTC fiyatının oynaklığının dikkate alınarak tahminlenmesi özellikle yatırımcılar için büyük önem taşımaktadır. Son yıllarda Makine Öğrenmesi (ML) yöntemlerinin gelişmesiyle birlikte birçok finansal alanda olduğu gibi kripto paraların fiyat tahminlemesinde sıklıkla ML yöntemlerine başvurulmaktadır. ML yöntemleri geleneksel ekonometrik yöntemlerin aksine veri setinde meydana gelen dalgalanmaları herhangi bir varsayıma ihtiyaç duymadan dikkate almakta ve çoğu zaman daha iyi sonuçlar vermektedirler. Bu çalışmada, 01.01.2018 ile 21.12.2023 tarihleri arasında BTC fiyatı geleneksel ekonometrik yöntem olan ARIMA ile ML yöntemi olan LSTM kullanılarak tahminlenmeye çalışılmıştır. Yöntemler karşılaştırılırken performans kriterleri olarak RMSE, MAE ve MAPE kriterleri kullanılmıştır. Çalışmanın sonuçlarına göre LSTM yöntemi en düşük RMSE ve MAPE değerlerine sahip olmuştur.
Tahrim Hossain, Sheikh Hassan, Faisal Haque Bappy, Muhammad Nur Yanhaona · 7 authors
Blockchain technology has revolutionized contractual processes, enhancing efficiency and trust through smart contracts. Ethereum, as a pioneer in this domain, offers a platform for decentralized applications but is challenged by the immutability of smart contracts, which makes upgrades cumbersome. Existing design patterns, while addressing upgradability, introduce complexity, increased development effort, and higher gas costs, thus limiting their effectiveness. In response, we introduce FlexiContracts, an innovative scheme that reimagines the evolution of smart contracts on Ethereum. By enabling secure, in-place upgrades without losing historical data, FlexiContracts surpasses existing approaches, introducing a previously unexplored path in smart contract evolution. Its streamlined design transcends the limitations of current design patterns by simplifying smart contract development, eliminating the need for extensive upfront planning, and significantly reducing the complexity of the design process. This advancement fosters an environment for continuous improvement and adaptation to new requirements, redefining the possibilities for dynamic, upgradable smart contracts.
Happy Budyana Sari, Emmy Febriani Thalib, Ni Putu Suci Meinarni
The urgency of this research lies in the growing significance of smart contracts within the blockchain technology landscape, particularly in Indonesia. Smart contracts offer the potential for automation and trustworthy business processes, with demonstrated applications in sectors such as electric power, higher education, e-commerce, and more. However, alongside their success and potential, challenges have emerged regarding financial regulations, taxation, and consumer protection. This study aims to explore the use and challenges of smart contracts in the context of Indonesian law. It seeks to identify the existing regulatory frameworks, assess the legal implications of smart contract usage, and propose solutions to ensure compliance with financial, tax, and consumer protection regulations in Indonesia. By gaining a better understanding of regulatory requirements and potential challenges, this research aspires to contribute to the development of a more efficient, automated, and secure blockchain ecosystem in Indonesia. The research method used is a literature review, encompassing the collection, selection, evaluation, analysis, and synthesis of relevant literature from various academic and practical sources. The expected outcome of this study is a deeper understanding of blockchain usage for data security within the legal context of Indonesia, along with practical guidance and recommendations for policymakers, legal practitioners, and stakeholders in developing effective regulations for data protection in the increasingly complex digital era.he abstract should be written in one paragraph and should be not more than 250 words. Arial, font size 10, single spacing. Follow the following pattern: General statement about the importance of the topic, gap in literature or discrepancies between theories and practices, purpose of study, method, main findings, and result.
As more and more attacks have been detected on Ethereum smart contracts, it has seriously affected finance and credibility. Current anti-fraud detection techniques, including code parsing or manual feature extraction, still have some shortcomings, although some generalization or adaptability can be obtained. In the face of this situation, this paper proposes to use graphical representation learning technology to find transaction patterns and distinguish malicious transaction contracts, that is, to represent Ethereum transaction data as graphs, and then use advanced ML technology to obtain reliable and accurate results. Taking into account the sample imbalance, we treated with SMOTE-ENN and tested several models, in which MLP performed better than GCN, but the exact effect depends on its field trials. Our research opens up more possibilities for trust and security in the Ethereum ecosystem.
Robby Nugroho Setiawan, Anwar Hidayat, Muhamad Abas
This research investigates the implementation of smart contracts in the Indonesian property sector, examining the legal opportunities and challenges involved. Blockchain technology offers high transparency, efficiency, and security in property transactions, but faces regulatory and infrastructural hurdles. The aim of this research is to explore the related legal dynamics, identify socio-economic impacts, and offer sustainable solutions. The research method employed is a qualitative legal approach to gather and analyze data. The findings indicate that although blockchain can expedite transaction processes and enhance transparency, the legal validity of smart contracts and consumer protection remain major issues. Regulatory updates and increased awareness of data security are necessary to optimize the adoption of this technology in Indonesia.Keywords: Blockchain., Property law., Regulation., Smart contracts., Transparency
As a cornerstone of blockchain technology in the 3.0 era, smart contracts play a pivotal role in the evolution of blockchain systems. In order to address the limitations of existing smart contract vulnerability detection models with regard to their generalisation capability, an AF-STip smart contract vulnerability detection framework incorporating efficient knowledge migration is proposed. AF-STip employs the teacher network as the main model and migrates the knowledge processed by the smart contract to the student model using a data-free knowledge distillation method. The student model utilises this knowledge to enhance its vulnerability detection capabilities. The approach markedly enhances the model's capacity for feature extraction and cross-class adaptation, while concurrently reducing computational overhead.In order to further enhance the extraction of vulnerability features, an adaptive fusion module is proposed in this paper, which aims to strengthen the interaction and fusion of feature information.The experimental results demonstrate that the STip model attains an average F1 value detection score of 91.16% for the four vulnerabilities without disclosing the original smart contract data. To validate the viability of the proposed lightweight migration approach, the student model is deployed in a migration learning task targeting a novel vulnerability type, resulting in an accuracy of 91.02% and an F1 score of 90.46%. To the best of our knowledge, AF-STip is the inaugural model to apply data-free knowledge migration to smart contract vulnerability detection. While markedly reducing the computational overhead, the method still demonstrates exceptional performance in detecting novel vulnerabilities.
Smart Contracts (SCs) handle transactions in the Ethereum blockchain worth millions of United States dollars, making them a lucrative target for attackers seeking to exploit vulnerabilities and steal funds. The Ethereum community has developed a rich set of tools to detect vulnerabilities in SCs, including reentrancy (RE) and unhandled exceptions (UX). A dataset of SCs labeled with vulnerabilities is needed to evaluate the tools’ efficacy. Existing SC datasets with labeled vulnerabilities have limitations, such as covering only a limited range of vulnerability scenarios and containing incorrect labels. As a result, there is a lack of a standardized dataset to compare the performances of these tools. Our dataset, SCRUBD, aims to fill this gap. SCRUBD is a dataset of real-world SCs and synthesized SCs labeled with RE and UX vulnerabilities. The real-world SC dataset is labeled through crowdsourcing, followed by manual inspection by an experienced SC programmer, and covers both RE and UX vulnerabilities. On the other hand, the synthesized dataset is carefully crafted to cover various RE scenarios only. Using SCRUBD, we compared the performance of six popular vulnerability detection tools. Based on our study, we found that Slither outperforms other tools on a crowdsourced dataset in detecting RE vulnerabilities, while Sailfish outperforms other tools on a manually synthesized dataset for detecting RE. For UX vulnerabilities, Slither outperforms all other tools.
Smart Contracts (SCs) handle transactions in the Ethereum blockchain worth\nmillions of United States dollars, making them a lucrative target for attackers\nseeking to exploit vulnerabilities and steal funds. The Ethereum community has\ndeveloped a rich set of tools to detect vulnerabilities in SCs, including\nreentrancy (RE) and unhandled exceptions (UX). A dataset of SCs labelled with\nvulnerabilities is needed to evaluate the tools' efficacy. Existing SC datasets\nwith labelled vulnerabilities have limitations, such as covering only a limited\nrange of vulnerability scenarios and containing incorrect labels. As a result,\nthere is a lack of a standardized dataset to compare the performances of these\ntools. SCRUBD aims to fill this gap. We present a dataset of real-world SCs and\nsynthesized SCs labelled with RE and UX. The real-world SC dataset is labelled\nthrough crowdsourcing, followed by manual inspection by an expert, and covers\nboth RE and UX vulnerabilities. On the other hand, the synthesized dataset is\ncarefully crafted to cover various RE scenarios only. Using SCRUBD we compared\nthe performance of six popular vulnerability detection tools. Based on our\nstudy, we found that Slither outperforms other tools on a crowdsourced dataset\nin detecting RE vulnerabilities, while Sailfish outperforms other tools on a\nmanually synthesized dataset for detecting RE. For UX vulnerabilities, Slither\noutperforms all other tools.\n
The landscape of investment banking and capital markets is undergoing a radical transformation, driven by the convergence of blockchain technology and decentralized finance (DeFi). At the heart of this evolution is the tokenization of illiquid assets—a process that converts ownership rights in traditionally non-tradable assets such as real estate, art, private equity, and infrastructure into digital tokens recorded on a blockchain. This innovation offers the promise of increased market accessibility, improved liquidity, enhanced transparency, and operational efficiency. By lowering entry barriers and reducing friction in asset transfer, tokenization is reshaping the traditional paradigms of advisory services and capital raising, especially for mid-market and emerging market issuers. This paper explores how investment banks are beginning to redefine their advisory models and underwriting strategies in response to the growing demand for tokenized securities. It examines regulatory challenges, the evolving investor landscape, and the technical infrastructure required to support these novel instruments. With a focus on developments through 2024, the paper synthesizes global case studies, including efforts by banks, fintechs, and digital asset exchanges to build compliant platforms for token issuance, custody, and secondary trading. Furthermore, it analyzes the intersection of tokenization with Environmental, Social, and Governance (ESG) objectives, assessing how digital assets can support greater accountability and reporting efficiency. From a capital markets perspective, tokenization offers an opportunity to unbundle traditional services, allowing for fractional ownership, 24/7 trading, automated compliance, and programmable assets. These shifts not only require a new technological architecture but also demand an evolution in legal frameworks and investor protections. Investment banks, thus, face a critical juncture: to either adapt and lead in developing tokenization-enabled capital markets or risk disintermediation by more agile digital-native competitors. This paper proposes a strategic blueprint for how advisory and deal structuring functions can evolve to meet these emerging demands, while also offering policy recommendations for building secure, scalable, and inclusive tokenization ecosystems.
Tatiana Silveira Camacho, Guilherme Jonas da Silva
As a highly speculative asset, bitcoin’s (BTC) demand is particularly based on the perceptions of agents about the financial asset. Especially institutions that began leaving a bigger footprint in the market, causing changes in transaction flow and price cycles. To assess how halving dynamics changed the BTC market, Wavelet methodology was carried out with daily data (from January 2011 to December 2021), on price and transaction count. Decomposition in scale and frequency indicate that flows were altered by the arrival of new investors, and stronger correlations between prices and transactions were found at lower frequencies (longer time horizon).
Purpose: This study sought to determine the effect of cryptocurrency on financial market in Kenya. The study sought to specifically determine the effect of Bitcoin Ethereum, and Litecoin on financial market in Kenya. Methods: The current study adopted a qualitative research design. The specific research design qualitative research design that was adopted was a desktop research design. Results: Studies have agreed that crypto-currencies have an impact on the financial market. However, studies observes that though cryptocurrency market have a significant effect on financial market, the impact is negative. The study therefore recommends that the government must consider developing explicit regulations for cryptocurrencies. Conclusion: The government may potentially make money by levying fees on digital and online transactions, but this benefit can only be realized if the crypto business is governed by a proper legal framework.
Zhuo Zhang, Donghui Li, Kun Jiang, Ya Li · 6 authors
Smart contracts are self-executing programs that operate on a blockchain. Once deployed, they cannot be altered, which introduces distinct maintenance challenges unlike those found in traditional software systems. Bugs and vulnerabilities in smart contracts have led to significant economic losses, drawing increased attention to their security. The immutability of smart contracts has made thorough security checks prior to deployment a priority. In this paper, we introduce a smart contract timestamp vulnerability detection technique PropaDT with propagation-based code clone analysis. The core idea of this technique involves using dataflow analysis based on an Abstract Syntax Tree (AST) to extract propagation chains that reveal how variables interact, potentially leading to vulnerabilities. Next, we extract code snippets based on the propagation chains and compare them with known vulnerability patterns in a database. This allows us to determine whether the tested smart contract contains a timestamp vulnerability, facilitating the detection of potential timestamp vulnerabilities in the code.
With the rise of Non-Fungible Tokens (NFT) internationally, digital collection trading in China has also emerged. In the trading practices of the digital collectibles market, consumers find themselves caught in the vortex of fraud, illegal fundraising, and pyramid schemes. Legal professionals are striving to assist consumers in protecting their rights, but they face significant challenges. An analysis of the crimes and misdemeanors in China's digital collectibles trading market reveals inadequate market regulation, ineffective regulatory enforcement, and numerous other persistent issues and challenges. In response to these issues, this paper will analyze the legal challenges encountered in digital collectibles trading and propose corresponding solutions: defining the scope of regulation, clarifying the flow of funds, and drawing on regulatory frameworks from NFT markets in other regions, among other approaches. It will also analyze the criminal elements under similar circumstances, clarify the distinction between criminal and non-criminal acts, and identify the subjects of regulation within digital collectibles trading. As digital collectible trading continues to evolve, laws and regulations will require ongoing improvement to keep pace with these developments.