Follow blockchain research across journals, conferences, and preprint repositories.
1,491 results · page 30 of 63
Alessia Galdeman, Luca Maria Aiello, Matteo Zignani, Sabrina Gaito
No abstract is available for this record.
Andrea Pinna, Maria Ilaria Lunesu, Roberto Tonelli, Andrea Tiddia
No abstract is available for this record.
Pieter Stek
Read, Write, Own: Building the Next Era of the Internet by Chris Dixon (Cornerstone, 2024) provides a compelling intellectual foundation that helps a skeptical reader understand the potential social, commercial and technological relevance of blockchain, cryptocurrencies, and related decentralized internet (“Web3”) technologies.
Luke D. Graham
Internet access is a prerequisite for access to Web3. Consequently, Web3 and the benefits thereof are rendered inaccessible for those individuals who lack Internet access. Presently, rich discussion exists on the topic of a right to Internet access. The central purpose of this contribution is not to argue for the recognition of such a right. Rather, the central purpose of this contribution is to suggest that if a right to Internet access is to be recognised, then it can be grounded in Article 11 (1) of the International Covenant on Economic, Social and Cultural Rights (ICESCR). Examining the potential of a right to internet access to be derived from this provision facilitates an examination of the parameters of the right to an adequate standard of living. It is suggested that the right to an adequate standard of living is not fixed or static but is instead capable of capturing technological and societal advancements. The advantages of this approach are two-fold. First, grounding a right to internet access within the right to an adequate standard of living recognises a right to internet access both as a constituent part of the right to an adequate standard of living and as an independent right. After all, independent rights have been interpreted as deriving from Article 11 (1) ICESCR. Second, anchoring a right to Internet access in Article 11 (1) ICESCR allows the established legal framework of the ICESCR to be applied to delimiting the content of a right to internet access so understood.
Milica Simić, Vukašin Despotović, Marko Suvajdžić, Tamara Naumović · 5 authors
An inventive blockchain-based e-business model for the fashion industry is demonstrated in this article. Analyses of Web3 and blockchain concepts are conducted, with a particular emphasis on how blockchain affects current business structures. The research's objective is to demonstrate how current e-business models integrate with blockchain platforms, the NFT marketplace, and the Web3 environment. An example of creating a blockchain and NFT-based business model for the fashion industry is provided as a proof of concept. The suggested model should demonstrate how blockchain technology may be used to trace business transactions between every stakeholder in the fashion industry's supply chain. The Fashion NFT Marketplace’s implementation and the demonstration of the smart contract created with the Solidity programming language are given particular attention.
Андрій Олександрович Гашко, Андрій Петрович Бондарчук, Максим Петрович Трембовецький, Олександр Ілліч Чумак
The article examines an automated method for verifying the correctness of smart contracts in the Solana blockchain network. The relevance of the research is driven by the growing popularity of Web3 applications and the need to ensure their security, as even minor errors in smart contract code can lead to significant financial losses. The primary goal is to develop an automated verification methodology for smart contracts that can detect vulnerabilities such as the absence of founder rights verification, arithmetic operation errors, and missing transaction check signatures. Using static analysis techniques in the Rust programming language, the authors propose an approach that enables rapid analysis-taking less than three minutes per contract-and automatic generation of reports on identified vulnerabilities. The methodology is based on analyzing external data flows through smart contracts, allowing for the early detection of potential threats. To automate the process, Python and Bash scripts are employed, integrating with cloud services such as Amazon Web Services to scale the analysis. Testing results on real Web3 applications demonstrate the effectiveness of the methodology, particularly in reducing analysis time and improving the accuracy of error detection. An important aspect of the research is the continuous updating of knowledge bases and analysis tools, enabling the consideration of new types of attacks and vulnerabilities. The article also highlights the importance of interoperability between different blockchain networks, which remains a challenging task but is a key element for the future development of Web3. The research results show that the proposed methodology is promising for scaling and adapting to new challenges in blockchain ecosystems such as Solana. Thus, the developed approach to automated smart contract verification not only enhances the security of Web3 applications but also contributes to their further development, ensuring stability and reliability in the dynamic evolution of blockchain technologies.
Hamza Baniata, Giovanny Eduardo Caluña Chicaiza
Election is the key process typically utilized for maintaining democracy in a given society. Recent technological advancements, such as Blockchain (BC), have been already deployed in previous works to realize non-conventional e-Voting systems. The main goal for such proposals is to provide the necessary level of security and reliability, while maintaining transparency, trust, and remote elections. However, the distributed and publicity nature of BC brought new challenges related to privacy and performance trade-off. This paper aims to address these issues by integrating smart contracts for reliability and transparency, Differential Privacy for enhancing vote anonymity, and Self-Sovereign Identities to unlock the potential of the Web3 framework for verifiable credentials and digital identities. Specifically, a novel ($k,\epsilon $)-differential privacy mechanism is developed, where a randomly selected candidate is pivoted from which retrievable votes are transferred to other candidates. Final election results are then statistically approximated. We evaluate the proposed methods for different arrival rates (10–80 TX/s), different total numbers of cast votes (10k–50k votes), and different numbers of elected candidates (2–8 candidates). To demonstrate the applicability of our proposal in real-life scenarios, we deploy our SC on a cloud-based permissioned BC network using Hyperledger Besu, with nodes set in Google’s EU and USA data centers. Our experimental results showed that BP-Vot could provide 24% enhancement in latency over state-of-the-art solutions ($\approx 1$s/TX compared to 1.24 s/TX). Additionally, using a standardized Min-Max regression mechanism, we show that BP-Vot could provide no less than 98% accuracy in votes approximation during all experiments, with a linearly increasing accuracy trend as a function of the total number of cast votes. Finally, we formally evaluate the proposed differential privacy method and prove that it is robust against reconstruction attacks.
Wulf A. Kaal
No abstract is available for this record.
Igor Calzada
This chapter explores the technopolitical dynamics underpinning the monopolistic rise of data-opolies—dominant tech corporations such as GAFAM—and their implications for democracy in the age of AI. Drawing on Calzada’s conceptual framework and action research, it investigates how algorithmic governance in smart cities displaces democratic deliberation, eroding civic trust and transparency. The chapter critically engages with Web3 technologies—blockchain, DAOs, and data cooperatives—as possible countermeasures to platform capitalism, while remaining attentive to their ideological tensions, especially the crypto-libertarian vision of “Network States” à la Srinivasan. By linking the governance of AI systems with Richard R. Nelson’s “Moon and Ghetto” metaphor, the chapter underscores a key paradox: technological innovation soars, yet foundational democratic deficits remain unresolved. Through a multidisciplinary lens, it interrogates how decentralized infrastructures might reclaim digital sovereignty and foster more equitable innovation systems. The chapter concludes by proposing a pluralistic governance model rooted in algorithmic transparency, data ethics by design, and multistakeholder engagement—critical steps toward re-democratizing the datafied city.
Lukas Weidener, Leonard Boltz
Introduction Decentralized autonomous organizations in decentralized science face unique organizational and scientific demands. This study examines core challenges encountered by DeSci DAOs and how these challenges affect governance and research practice. Methods Ten semi-structured interviews were conducted with co‐founders, working‐group leads, and long‐term contributors. Transcripts were analyzed using Kuckartz’s six‐phase qualitative content analysis. Categories were developed and refined to synthesize recurrent themes across interviews. Results Nineteen sub-categories clustered into six domains: governance, financials, contribution, onboarding, operations, and science. Findings highlight tensions between token‐weighted decision making and domain expertise, labor‐intensive hybrid accounting practices, persistent talent shortages, steep Web3 onboarding curves, fragmented project coordination, and science‐specific issues that include negotiations with technology transfer offices and the tokenization of research assets. The resulting category system provides a diagnostic baseline for understanding how decentralized governance intersects with scientific rigor. Discussion DeSci DAOs progress most effectively when blockchain-enabled transparency is paired with clearly defined coordination roles, structured onboarding pathways, and credible mechanisms for scientific validation. These features help balance organizational experimentation with proven practices and support more reliable scientific workflows.
Usman Khalil, Mueen Uddin, Hashem Alaidaros, Adnan Akhunzada
Abstract In the rapidly evolving landscape of IoT-enabled smart devices, significant challenges persist in integration to web3, security, and data reliability. This research presents the design and integration of IoT assets, particularly devices, through the Novel Decentralized Smart City of Things (DSCoT) framework. ESP32 microcontrollers serve as Ethereum clients, generating Externally Owned Accounts (EOA) for device identification and authentication. Despite resource constraints, including limited computational capabilities, essential libraries that manage tasks such as Wi-Fi module control, interaction with Ethereum-based blockchains, TCP connection management, and EEPROM operations for persistent data storage. The code is structured with functions for Wi-Fi setup, TCP API requests, and secure communication challenges. Integration involves compiling and flashing the code onto ESP32 devices, verifying EOA generation, and mapping devices, fog nodes, and users through smart contract interactions. The deployment process culminates in the generation of Non-Fungible Tokens (NFTs) for user authentication, with transaction verification on the Goerli testnet confirming successful DSCoT edge system implementation. This research underscores the importance of secure and decentralized integration of IoT-enabled smart devices to the blockchain, enhancing performance while ensuring security and transparency.
Abayomi Titilola Olutimehin
This study examines security risks, emerging technologies, and cryptographic techniques in cloud-based digital currency transactions using a quantitative research approach. Data was sourced from the REKT Database, Web3 Security Report, and Elliptic Open Dataset, employing descriptive statistical analysis, regression modeling, and time-series analysis to assess security vulnerabilities, fraud reduction trends, and regulatory compliance effectiveness. Findings reveal that AI-driven security measures reduced fraud cases by 55% from 2022 to 2025, while illicit transactions declined from 12.5% in 2019 to 6.1% in 2023, demonstrating the impact of cryptographic advancements and regulatory interventions. However, cybercriminals are shifting toward high-value, precision-based attacks, necessitating an integrated security framework. This study contributes to AI-driven security, cryptographic resilience, and regulatory compliance in cloud-based digital transactions. By analyzing emerging threats and security frameworks, it offers valuable insights for researchers, policymakers, and financial institutions. The findings aid in developing robust fraud detection, post-quantum cryptography, and regulatory strategies to enhance digital financial security. This research bridges technological advancements with compliance measures, ensuring a more resilient and secure cloud-based cryptocurrency ecosystem. The study recommends enhancing AI fraud detection with cryptographic security models, adopting post-quantum cryptography, strengthening regulatory compliance, and implementing zero-trust security models to ensure long-term resilience in cloud-based financial ecosystems.
Soogand Alavi
No abstract is available for this record.
Adesegun Adeyemi
No abstract is available for this record.
David Krause
No abstract is available for this record.
Brian Sanya Mondoh, Palesa Roza Gwele
No abstract is available for this record.
Igor Calzada
No abstract is available for this record.
Joel Binoy Abraham
No abstract is available for this record.
Achuta Krishna Kishore Varma Alluri
With the evolution of Web 3.0 and the rise of the DeFi ecosystems it is only natural that the paradigms of customer relationship management have changed, and are in urgent need of novel and real-time ways of gaining insights into portfolios and predicting engagement. In this work, we explore the fusion of Salesforce CRM frameworks with machine learning methodologies such as DeFi portfolio management and customer engagement prediction in the context of Web3. The study uses a quantitative research method that targets a sample of 250 users of DeFi platforms among Indian cryptocurrency exchanges. The questionnaires were structured and dealt with portfolio performance metrics, customer engagement scores, and ML model accuracy indicators for the primary data collection. It includes some predictive analytics methodology such as decision tree algorithms, K-Nearest Neighbors (KNN), and hybrids between deep learning models. Their results show that Salesforce CRM systems integrated with ML achieve 87.3 percent accuracy in forecasting the portfolio and achieve 82.6 percent precision in predicting their customer engagement factors. Results show interesting, statistically relevant correlations between the ability to perform real-time data processing technologies and user satisfaction. The results suggest that blockchain-based CRM models improve transparency, security, and personalization within DeFi ecosystems. We add to the ongoing Web3 customer relationship management dialogue and offer guidance in bringing intelligent CRM solutions to existence within decentralized financial platforms
Anzenna Dranantya
No abstract is available for this record.
Brian Sanya Mondoh, Palesa Roza Gwele
This case analysis examines three sequential English High Court decisions in the litigation between the Crypto Open Patent Alliance (COPA) and Dr Craig Wright. The trilogy comprising the Relief Judgment , the Contempt Judgment, and the General Civil Restraint Order (GCRO) Judgment demonstrates the Court’s methodical progression from injunctive relief to contempt findings and ultimately to a civil restraint order. These judgments illustrate how English civil procedure addresses persistent and meritless litigation, particularly in the areas of digital assets, blockchain technology, and intellectual property. The Court focused on safeguarding judicial resources while protecting the interests of affected parties by balancing the need for access to justice with the necessity of deterring vexatious conduct.
Lo‐Yao Yeh, P. C. Chiu, Guan Yu Chen, Jiun‐Long Huang · 5 authors
Distributed Denial of Service (DDoS) attacks have emerged as a significant concern for numerous platforms, websites, and servers in recent years. Employing a blacklist access control mechanism stands out as a viable defense strategy against such attacks. However, there exists a hesitation among some Security Operation Centers (SOC) engaged in gathering threat intelligence to share their knowledge, primarily due to a lack of incentives. Therefore, advocating for a fair and effective method of sharing threat intelligence emerges as a promising research area. In this paper, we put forth a proposal for a Web3-based mechanism, outlining a threat intelligence sharing scheme that incorporates incentives while ensuring transparency through the maintenance of exchange records on smart contracts for fair reward. To uphold data confidentiality, the suggested system incorporates a proxy re-encryption scheme, which maintains data in an encrypted form during exchange, thereby preventing data leakage to unauthorized persons. Additionally, our innovative scheme incorporates a novel non-false-positive-based double filter that operates without generating false positives. This advancement serves to amplify the efficiency of data requesters, enabling them to seamlessly search for pertinent information while effectively excluding irrelevant data sets and safeguarding data privacy. According to our simulation results, the execution time of proxy re-encryption in our proposed scheme demonstrates a significant improvement of approximately 65%-70% compared to other existing schemes. This enhancement underscores the efficiency and robustness of our proposed approach in mitigating the impact of DDoS attacks.
Sureshkumar Karuppuchamy
This article examines how composable commerce architectures converge with Web3 technologies to transform digital commerce. Blockchain technology establishes transparent transaction frameworks that enhance trust through cryptographic verification rather than institutional guarantees. Decentralized identity specifications revolutionize authentication by returning data ownership to users while enhancing privacy through selective disclosure mechanisms. Social integrations create community-driven trust architectures that leverage token economics to align incentives between platforms and participants, enabling novel commercial interactions with minimal reliance on intermediaries. For organizations transitioning to Web3 commerce, layered architectural designs, progressive decentralization approaches, and robust security practices address the tensions between decentralization, security, and scalability. This technological convergence represents a fundamental restructuring of commercial relationships toward more equitable, transparent, and user-sovereign digital ecosystems.
Addou Kamal, Mohammed Yassine El Ghoumari
Traceability in food supply chains is crucial for ensuring safety, enabling effective quality control, and maintaining consumer trust. However, traditional paper-based or digital tracking systems often prove too slow and opaque during food safety incidents or investigations into fraud. To address these limitations, this paper presents a modular Web3 architecture that integrates Ethereum blockchain smart contracts, Internet of Things (IoT) sensors, and machine learning (ML) to achieve end-to-end traceability and sustainability in agrifood supply chains, and to support auditable, partially automated decision-making. The system design separates concerns into layers: an on-chain layer of Ethereum smart contracts for tamper-proof event logging and automated business logic, and an off-chain layer for secure storage of detailed sensor data and documents, linked by crypto-graphic hashes to ensure data provenance. Low-cost IoT sensors are deployed from farm to distributor, continuously monitoring environmental conditions (temperature, humidity, geolocation) and uploading signed, time-stamped summaries to the blockchain. In addition, ML models perform predictive quality control by estimating expected conditions, detecting anomalies, and scoring the conformity of product batches, which enables smart contracts to automatically trigger state transitions (acceptance or dispute escrow of shipments) based on real-time data. Using Ethereum smart contracts, a prototype that manages the life cycle of a specific food product was implemented, and two cases (conformant vs non-conformant shipments) were studied to demonstrate how cryptographically verifiable data and events make decisions transparent and trustworthy.