In distributed computing, data trading mechanisms are essential for ensuring the sharing of data across multiple computing nodes. Nevertheless, they currently encounter considerable obstacles, including low accuracy in matching trading parties, ensuring fairness in transactions, and safeguarding data privacy throughout the trading process. In order to address these issues, we put forward a data trading security scheme based on zero-knowledge proofs and smart contracts. In the phase of preparing the security parameters, the objective is to reduce the complexity of generating non-interactive zero-knowledge proofs and to enhance the efficiency of data trading. In the pre-trading phase, we devise attribute atomic matching smart contracts based on precise data property alignment, with the objective of achieving fine-grained matching of data attributes between trading parties. In the trading execution phase, lightweight cryptographic algorithms based on elliptic curve cryptography (ECC) and non-interactive zero-knowledge proofs are employed for the dual encryption of trading data and the generation of attribute proof contracts, thus ensuring the security and privacy of the data. The results of experiments conducted on the Ethereum platform in an industrial IoT scenario demonstrate that our scheme maintains stable and low-cost consumption while ensuring accuracy in matching and privacy protection.
The transition of Ethereum from a Proof-of-Work (PoW) to a Proof-of-Stake (PoS) consensus mechanism introduces a transformative approach to blockchain validation, offering enhanced scalability, energy efficiency, and security. However, this shift also presents significant challenges, including high barriers to becoming a validator, restrictions on the liquidity of staked Ether (ETH), and the risk of centralization due to staking pool dynamics. This paper addresses these challenges by exploring two innovative solutions: EigenLayer and Lido. EigenLayer is a middleware solution enabling restaking, allowing validators to secure multiple protocols and thereby increasing decentralization and profitability. Lido, a liquid staking protocol, simplifies participation by issuing stETH tokens that retain liquidity, allowing users to earn rewards without long-term lock-up constraints. This paper provides a detailed analysis of how these technologies mitigate key PoS challenges, reduce validator entry barriers, unlock staked capital, and improve decentralization. We conclude with an evaluation of the combined potential of EigenLayer and Lido to foster a more resilient and inclusive Ethereum ecosystem, setting the stage for further advancements in decentralized finance.
Mingzhe Li, Bo Gao, Kentaroh Toyoda, Yechao Yang · 12 authors
Traditional blockchain systems, such as Ethereum, typically rely on a \emph{single volatile cryptocurrency for transaction fees}. This leads to fluctuating transaction fee prices and limits the flexibility of users' payment options. To address these issues, we propose MStableChain, which leverage multiple stablecoins as native tokens for transaction fee settlements, thus ensuring stable transaction fees and flexible payment options. To address the challenges of mass adoption and practicality, we propose several core designs. To maintain compatibility with the Ethereum Virtual Machine (EVM) for mass adoption while supporting multiple native stablecoins, MStableChain employs a multi-currency units, multi-type RPCs mechanism. This mechanism enables the system to handle multiple stablecoins without altering the EVM or requiring changes to user applications. Furthermore, an oracle-based gas fee adjustment mechanism is proposed to manage exchange rates between different stablecoins, ensuring equitable transaction costs across various currencies. The system also introduces a secure, on-chain voting-based management protocol for the administrative functions related to these stablecoins. Experimental results from a prototype implementation demonstrate that MStableChain provides stable transaction fee prices, high effectiveness, and good usability.
The detection of vulnerabilities in smart contracts remains a significant challenge. While numerous tools are available for analyzing smart contracts in source code, only about 1.79% of smart contracts on Ethereum are open-source. For existing tools that target bytecodes, most of them only consider the semantic logic context and disregard function interface information in the bytecodes. In this paper, we propose COBRA, a novel framework that integrates semantic context and function interfaces to detect vulnerabilities in bytecodes of the smart contract. To our best knowledge, COBRA is the first framework that combines these two features. Moreover, to infer the function signatures that are not present in signature databases, we propose SRIF, automatically learn the rules of function signatures from the smart contract bytecodes. The bytecodes associated with the function signatures are collected by constructing a control flow graph (CFG) for the SRIF training. We optimize the semantic context using the operation code in the static single assignment (SSA) format. Finally, we integrate the context and function interface representations in the latent space as the contract feature embedding. The contract features in the hidden space are decoded for vulnerability classifications with a decoder and attention module. Experimental results demonstrate that SRIF can achieve 94.76% F1-score for function signature inference. Furthermore, when the ground truth ABI exists, COBRA achieves 93.45% F1-score for vulnerability classification. In the absence of ABI, the inferred function feature fills the encoder, and the system accomplishes an 89.46% recall rate.
Mathew Fukuzawa, Michael G. Kay, Brandon M. McConnell, Kristin Thoney-Barletta · 5 authors
Purpose - Demonstrate proof-of-concept for an expanded blockchain smart contract based small-scale contracting process that includes an internally managed arbitration service to manage disputes. Design/Methodology/Approach - Using Ethereum smart contracts, we model a small-scale general contracting scenario with disruptions. Execution is demonstrated with the Remix Integrated Development Environment (IDE). Findings - We show the feasibility of managing general contracting disputes with an internal arbitration service, completely encompassed within blockchain smart contracts. Originality/value - This research continues an original effort to model the small-scale general contracting scenario on a blockchain network. Research limitations/implications - Further work is required to expand the scope of dispute management and account for additional external factors. Also, full-scale decentralized application is not explored here. Practical implications - This process expands the scope of current practices and tools, such as Angi, in a decentralized manner with blockchain. Social Implications - Full-scale adoption at the small scale is likely difficult due to disbelief in technology, cost, and resistance to change.
Kurdman Rasol, Alfonso Egio, Miguel Catalán-Cid, Leonardo Lossi · 6 authors
The proper orchestration of end-to-end network slices demands dynamic and meticulous resource management while addressing the complexities of multi-tenancy and multiservice scenarios. In this context, integrating network orchestrators with distributed ledger technologies has gained significant attention for its potential to implement decentralized finance marketplaces and service-level agreements using smart contracts. This approach can support the evolution of business models beyond traditional network-sharing agreements, such as crowdfunding. To this end, we propose the 5G-as-a-Service (5GaaS) system architecture, which leverages distributed ledger technologies and smart contracts to orchestrate and optimize network slicing, enabling ubiquitous computing and connectivity in 5G networks. We evaluated the feasibility of this system across various Ethereum testnets, demonstrating the cost-effectiveness, scalability, and minimal latency of the 5GaaS system, making it suitable for seamless integration into existing telecommunications frameworks.
Decentralized Autonomous Organizations (DAOs), based on block-chain systems such as Ethereum, are emerging governance protocols that enable decentralized community management without a central authority. For instance, UniswapDAO allows members to vote on policy changes for the Uniswap exchange. However, DAOs face challenges regarding scalability, governance, and compliance. Hybrid-DAOs, which combine the decentralized nature of DAOs with traditional legal frameworks, provide solutions to these issues. This research explores various aspects of DAOs, including their voting mechanisms, which, while ensuring fairness, are susceptible to Sybil attacks, where a user can create multiple accounts to exploit the system. Hybrid-DAOs offer robust solutions to these attacks, enabling more equitable voting methods. Moreover, decentralization can be understood through four properties: anonymity, transparency, accountability, and fairness, each with distinct implications for DAOs. Lastly, this work discusses legal challenges Hybrid-DAOs face and their promising applications across sectors such as nonprofit management, corporate governance, and startup funding. Overall, we argue that Hybrid-DAOs are the future of DAOs: the additional legal structure enhances the feasibility of many applications, and they offer innovative solutions to technical problems that plague DAOs.
Gabriel Fernández-Blanco, Iván Froiz-Míguez, Paula Fraga‐Lamas, Tiago M. Fernández‐Caramés
The educational system manages extensive documentation and paperwork, which can lead to human errors and sometimes abuse or fraud, such as the falsification of diplomas, certificates or other credentials. In fact, in recent years, multiple cases of fraud have been detected, representing a significant cost to society, since fraud harms the trustworthiness of certificates and academic institutions. To tackle such an issue, this article proposes a solution aimed at recording and verifying academic records through a decentralized application that is supported by a smart contract deployed in the Ethereum blockchain and by a decentralized storage system based on Inter-Planetary File System (IPFS). The proposed solution is evaluated in terms of performance and energy efficiency, comparing the results obtained with a traditional Proof-of-Work (PoW) consensus protocol and the new Proof-of-Authority (PoA) protocol. The results shown in this paper indicate that the latter is clearly greener and demands less CPU load. Moreover, this article compares the performance of a traditional computer and two Single-Board Computers (SBCs) (a Raspberry Pi 4 and an Orange Pi One), showing that is possible to make use of the latter low-power devices to implement blockchain nodes but at the cost of higher response latency. Furthermore, the impact of Ethereum gas limit is evaluated, demonstrating its significant influence on the blockchain network performance. Thus, this article provides guidelines, useful practical evaluations and key findings that will help the next generation of green blockchain developers and researchers.
Bitcoin'in popülaritesinin artması ile ölçeklendirme sorunları da kaçınılmaz hale gelmektedir. Blok boyutu sınırlamaları ve işlem ücretlerindeki artış, tartışmalara yol açmakta ve alternatif çözüm arayışlarını tetiklemektedir. Ethereum, Bitcoin'in sınırlı işlevselliğini aşmak ve akıllı sözleşmeler gibi daha karmaşık işlevler sağlamak amacıyla tasarlanmıştır. Ancak Ethereum ağının yaygın olarak benimsenmesi, ağın hız ve/veya maliyetten ödün vermeden artan işlem hacmini sürdürebilmekte zorlanmasına neden olmuştur. Bu zorlukların üstesinden gelmek için, Optimistik Rollup gibi katman-2 ölçeklendirme çözümleri geliştirilmiştir. Bu çalışma, Ethereum ağının ölçeklenebilirlik zorluklarını ve katman-2 ölçeklendirme çözümlerinden Arbitrum ile Optimism'in ölçeklenebilirlik üzerindeki etkilerini ele almaktadır. Çalışma sonuçlarına göre, Arbitrum ve Optimism'ın etkinleştirilmesi sonrasında Ethereum hem günlük ortalama işlem sayılarında hem de ortalama işlem ücretlerinde bir artış meydana gelmektedir. Bu bulgular, Arbitrum ve Optimism gibi katman-2 çözümlerinin Ethereum ağının ölçeklenebilirliğini artırma ve işlem maliyetlerini azaltma potansiyeli hususunda başarılı olmadığını göstermektedir.
Richard Hobeck, Christopher Klinkmüller, H. M. N. Dilum Bandara, Ingo Weber · 5 authors
Abstract Blockchain technology is known for its transparency properties due to its publicly available, immutable data. Yet, as data availability does not inherently ensure transparency, further analytical methods may be required for human interpretation of data traces. Process mining has emerged as a popular toolbox for understanding processes and how they are executed in practice. The paper studies process mining as a method to enhance the transparency of blockchain data. To this end, two popular Ethereum applications were analyzed using process mining: the prediction and betting marketplace Augur and the network marketing platform Forsage . Observations from the process-mining analyses are used to discuss if process mining can serve as a method to establish transparency of a blockchain. For both applications, new insights are generated for usage scenarios such as application redesign, security analysis, user behavior analysis, and revealing blind spots in Augur’s and Forsage’s documentation. The paper concludes that there is evidence that process mining can serve as a method to enhance transparency in blockchains at the cost of technical setup and knowledge acquisition.
V zadnjem desetletju je zanimanje za kriptovalute močno naraslo. S tem je prišlo tudi do porasta kapitala, zaklenjenega v pametnih pogodbah, kar pa je hkrati povečalo tveganje za napade. Za preprečevanje napadov na pametne pogodbe je potrebna analiza programerskih vzorcev in okolja, v katerem se pametne pogodbe izvajajo. V prispevku obravnavamo varnost omrežja Ethereum in njegovo vlogo v razvoju decentraliziranih aplikacij (angl. decentralised Applications - dApps). Pregledamo uporabo Ethereumovega Virtualnega stroja (EVM), programskega jezika Solidity in zbirnika pri gradnji pametnih pogodb. Poleg tega opišemo varnostne izzive, s katerimi se sooča Ethereumov ekosistem, in analiziramo tri pretekle napade na decentralizirane platforme. Prispevek prinaša tudi konkreten primer napada na pametno pogodbo, ki izkorišča ranljivost v njeni implementaciji. Rezultat prispevka je prikaz pametne pogodbe, ki ob standardni uporabi deluje pravilno, vendar vsebuje ranljivost, ki jo je mogoče izkoristiti za neavtorizirano spreminjanje njenega stanja.
The primary risks associated with game account trading include the exposure of personal information and the potential for account retrieval. In a system leveraging blockchain technology, specifically Ethereum combined with the InterPlanetary File System (IPFS), personal and game-related information is kept confidential. This system ensures that only the respective users have access to their personal data on the blockchain. Furthermore, upon the completion of a trade, the information associated with the account can be altered once, enhancing security. Additionally, the landscape of video game trading, particularly in China, is evolving rapidly. With the growth and development of the video game industry in the region, it has become increasingly challenging to trade game accounts. This complexity is largely due to the emergence of various policies and regulations that aim to safeguard user data and maintain the integrity of game ecosystems. The blockchain-based system provides a more secure and efficient way of handling these transactions, mitigating risks associated with traditional trading methods. By employing decentralized technologies, this innovative approach ensures greater privacy, security, and compliance with regulatory standards, thus revolutionizing the realm of game account trading.
Clement Daah, Amna Qureshi, Irfan Awan, Savas Konur
The financial sector is increasingly facing advanced cyber threats, necessitating a shift from traditional security measures to more dynamic frameworks. This study presents a novel integration of Zero Trust architecture with hybrid access control system and blockchain technology to enhance security in financial institutions. Zero Trust enforces continuous authentication and dynamic access controls, while blockchain secures digital identities and transaction logs through its immutable ledger, ensuring data integrity and non-repudiation. The proposed framework, evaluated using OMNeT++ simulations enhanced by Ethereum-Ganache, shows improved detection accuracy, reduced false positives, and increased resistance to insider threats and other attacks. It also strengthens compliance with regulatory requirements through robust audit trails, providing enhanced protection for sensitive financial data.
Hamza Tamenaoul, Mahmoud El Hamlaoui, Mahmoud Nassar
The strategy design pattern is an essential behavioral design pattern.When developing software it is relied upon for the development of modular components.Given the constraints inherent to the inner workings of the Blockchain and features offered by Smart Contract languages, some of the design patterns commonly used in software systems development cannot be naively implemented.This paper explores a new pattern implementation of the mentioned pattern in a contract oriented language aimed at Smart-Contracts development, specifically the solidity language.The pattern's implementations discussed in this paper are intended to be deployed and run on the Ethereum Blockchain.
Blockchain technology has transformed digital transactions by enhancing security and trust through decentralization and cryptography. However, this technology also poses significant privacy challenges in transactions. Specifically, the transparency inherent in blockchain can lead to privacy concerns where sensitive transaction data and user identities are potentially exposed. This paper explores the dichotomy of data privacy and identity privacy within blockchain transactions, using Ethereum as a primary example. It delves into various privacy protection technologies currently in use, such as homomorphic encryption and zero-knowledge proofs, and evaluates their effectiveness and limitations. The paper further discusses the balance between privacy protection and regulatory compliance, which remains a critical challenge. Additionally, it considers future directions for enhancing privacy without compromising the security and functionality of blockchain systems. This exploration is vital for developing blockchain applications that maintain user confidentiality while benefiting from the transparency and security that blockchain provides.
Turing completeness has made Ethereum smart contracts attractive to blockchain developers and attackers alike. To increase code security, many tools can now spot most known vulnerabilities$-$at the cost of production efficiency. Recent studies show false-positive ratios over 99% in state-of-the-art technologies: this makes them impractical for use in industry and have raised questions on the direction of academic research. In this work we show how integrating and extending current analyses is not only feasible, but also a next logical step in smart-contract security. We propose light-weight static checks on the morphology and dynamics of Solidity code, stemming from a developer-centric notion of vulnerability, that we use to verify the output of other tools, flag potential false alarms, and suggest verifications. Besides technical details we implemented an open-source prototype. For three top-10 vulnerabilities it flags 324 warnings of other tools as false-positives, in 60 verified de-duplicated smart contracts selected from the blockchain by the presence of true (and false) vulnerabilities. This amounts to a 92%- to 100%-reduction in the number of false-positives for these vulnerabilities.
A non-fungible token (NFT) is a kind of digital asset that signifies ownership or proof of authenticity of a special good or piece of material, such as artwork, music, films, or tweets. This study investigates how a deep convolutional generative adversarial network (DCGAN) can be used to create distinctive pictures of Cryptopunks that can be converted into NFTs. Cryptopunks, a pioneering form of NFTs, were introduced on the Ethereum blockchain in 2017 as part of a social experiment. In the NFT community, they have since grown in popularity as collectibles. To create brand-new, previously undiscovered characters, we trained a model on a dataset of existing Cryptopunks using the DCGAN architecture. In an effort to raise the calibre of the images produced, we tested various hyper settings and layer combinations. We also assessed the created images using a variety of criteria, such as the inception score and Fréchet inception distance, to make sure they were distinctive and of high calibre. Our experiments yielded a 15 % increase in the inception score and a 20 % decrease in the Fréchet inception distance, showing that our DCGAN model produces images that are more visually appealing and closer in quality to real Cryptopunks. These results highlight the effectiveness of our machine learning algorithms in improving the quality and uniqueness of NFT assets.
Understanding the interconnectedness of cryptocurrencies based on their underlying technology is crucial for effective portfolio management and risk assessment. To establish the tail dependence structure and risk spillover between cryptocurrencies, this paper used the daily closing prices of the top eight proof-of-stake-based cryptocurrencies and the top ten proof-of-work-based cryptocurrencies from September 22, 2020 to April 7, 2023. This study applied the C-vine copulas and CoVaR measures. The outcome of the copula findings for the proof-of-stake cryptocurrencies illustrates that Ethereum exhibits strong resilience during market downturns, acting as a buffer for other proof-of-stake cryptocurrencies with pairwise tail dependence coefficients ranging from 0.45 to 0.67. Bitcoin Cash emerges as a portfolio diversifier within the proof-of-work ecosystem, absorbing 45% to 75% of volatility spillovers. However, from the proof-of-stake CoVaR analysis, ETH, DOT, and MATIC rank highest in systematic importance before April 2022, signifying their significant risk transmission role, and for the proof-of-work CoVaR analysis, Bitcoin (BTC) is the primary risk transmitter in the cryptocurrency portfolio, having a positive CoVaR of 0.15. Ethereum and Bitcoin are identified as the dominant risk transmitters within their respective groups, highlighting their potential to amplify systemic risk. This study provides valuable insights for investors and policymakers navigating the increasingly complex cryptocurrency landscape.
Using the Ethereum blockchain for decentralized voting offers a secure, transparent, and tamper- resistant method for conducting online elections. This application runs on the Ethereum blockchain network, enabling participants to cast their votes and access voting results without needing any intermediaries. In this approach, votes Once information is stored on the blockchain, it cannot be altered or tampered with, ensuring transparency and trust in the recorded outcomes. Smart contracts are utilized to automate the voting process, ensuring it remains transparent and secure. The combination of blockchain technology and a decentralized system delivers a dependable and cost-efficient solution for conducting fair and trustworthy elections.
Matteo Loporchio, Anna Bernasconi, Damiano Di Francesco Maesa, Laura Ricci
Decentralized applications, the driving force behind the new Web3 paradigm, require continuous access to blockchain data. Their adoption, however, is hindered by the constantly increasing size of blockchains and the sequential scan nature of their read operations, which introduce a clear inefficiency bottleneck. Also, the growing amount of data recorded on the blockchain makes resource-constrained light nodes dependent on untrusted full nodes for fetching information, with a consequent need for query authentication protocols ensuring result integrity. Motivated by these reasons, in this paper we propose the skip index, an indexing data structure that allows users to quickly retrieve information simultaneously from multiple blocks of a blockchain. Our solution is also designed to be used as an authenticated data structure to guarantee the integrity of query results for light nodes. We discuss the theoretical properties of skip indices, propose efficient algorithms for their construction and querying, and detail their computational complexity. Finally, we assess the effectiveness of our proposal through an experimental evaluation on the Ethereum blockchain. As a reference use case, we focus on the popular CryptoKitties application and simulate a scenario where users seek to retrieve the events generated by the service. Our experimental results suggest that the use of skip indices offers a constant multiplicative speedup, thanks to search times that are at most logarithmic within a chosen search window. This allows to reduce the number of visited blocks by up to two orders of magnitude if compared to the naive sequential approach currently in use. • We propose the skip index, a data structure for efficient blockchain data retrieval. • The skip index provides guarantees about the integrity of query results. • We devise efficient algorithms to construct and query skip indices. • Compared to a sequential scan, skip indices offer a constant multiplicative speedup. • Skip indices experimentally provide a speedup of up to two orders of magnitude.
Open access
Blockchain Technology Applications and Security
Cryptography and Data Security
Advanced Steganography and Watermarking Techniques
Private companies seeking to grow often face complex regulations that hinder their development or delay decision-making. These challenges stem from market monopolies that tend to absorb smaller entities. However, principles of free markets and democratic governance protect social justice and prevent the concentration of corrupting power. This article explores company-issued crypto assets as a promising growth avenue. It emphasizes the importance of carefully timing the introduction of crypto assets to the public, as this can significantly impact their success and value. The Ethereum-based ERC20 protocol is highlighted as a key standard for issuing crypto tokens. Ethereum, a decentralized blockchain platform, is advantageous for implementing complex business logic and smart contracts. Companies often issue tokens to raise capital through ICOs, with the ERC20 protocol being the most widely used standard. This protocol ensures compatibility within the Ethereum ecosystem, making it a preferred choice for new crypto token development.
The adoption of smart contracts in decentralized blockchain-based applications enables reliable and certified audits. These audits allow the extraction of valuable information from blockchains, which can be used to reconstruct the execution of the application and facilitate advanced analyses. One of the most commonly used techniques in this context is process mining, which leverages event logs to trace and accurately represent the process execution of applications. However, extracting execution data from blockchains poses significant challenges, and the current methodologies developed have some limitations. Most approaches are tailored to specific use cases, requiring that analysis techniques are defined during the smart contract’s development. Other techniques are applied a posteriori, relying on blockchain events that often lack a standardized format. This absence of standardization requires complex processing steps to correlate logs with the executed actions and such approaches are not universally applicable to all smart contracts on the blockchain , further limiting their scope. Lastly, none of the existing techniques can extract information from event logs embedded in internal transactions of smart contracts. To address these limitations, we propose EveLog an application-agnostic methodology that can be applied to any EVM-compatible application without predefined constraints. Its primary goal is to extract information from smart contracts, capturing both public and internal transactions, and organizing the results into a structured XES event log. The EveLog methodology consists of five key steps: (i) extraction of data from smart contract transactions, (ii) decoding raw data, (iii) selection of sorting criteria, (iv) construction of traces, and (v) generation of the XES event log. EveLog has been implemented in a client–server application and tested on existing solutions, specifically the CryptoKitties application, a blockchain-based game on the Ethereum blockchain. The study was conducted using 12,996 blocks, including over 8000 real transactions from the Ethereum mainnet.
This report introduces the Grant Maturity Index (GMI), a novel evaluative framework designed to assess the maturity and operational effectiveness of Web3 grant programs. As Web3 continues to develop, the decentralized nature of these programs brings both opportunities and challenges, particularly when it comes to governance, transparency, and community engagement. Traditional funding models are often governed by standardized processes, but Web3 grants lack such consistency, making it difficult for grant operators to measure the long-term success of their programs.The Grant Maturity Index (GMI) was created through exploratory applied research to address this gap. Inspired by the World Bank's GovTech Maturity Index (GTMI), the GMI is tailored specifically for the decentralized Web3 ecosystem. The GMI evaluates key dimensions of grant programs governance, transparency, operational efficiency, and community engagement, providing grant operators with a clear benchmark for assessing and improving their programs. The primary objectives of this research are to, first, identify the structural indicators that adequately describe Web3 grant programs. Second, to describe optimal outcomes for programs by evaluating their maturity across key operational areas. The GMI is applied to four major Ethereum Layer 2 grant programs, namely Arbitrum, Mantle, Taiko Labs, and Optimism. These case studies highlight areas where Web3 grant programs require improvement, particularly in standardizing processes, enhancing transparency, and increasing community participation.
The web3 applications have recently been growing, especially on the Ethereum platform, starting to become the target of scammers. The web3 scams, imitating the services provided by legitimate platforms, mimic regular activity to deceive users. The current phishing account detection tools utilize graph learning or sampling algorithms to obtain graph features. However, large-scale transaction networks with temporal attributes conform to a power-law distribution, posing challenges in detecting web3 scams. In this paper, we present ScamSweeper, a novel framework to identify web3 scams on Ethereum. Furthermore, we collect a large-scale transaction dataset consisting of web3 scams, phishing, and normal accounts. Our experiments indicate that ScamSweeper exceeds the state-of-the-art in detecting web3 scams.