Blockchain technology has evolved from its initial application in cryptocurrencies such as Bitcoin to a versatile decentralized infrastructure supporting decentralized finance (DeFi), digital identity systems, smart contracts, and Web3 ecosystems. Despite its transformative potential, the rapid expansion of blockchain platforms has significantly increased the security attack surface, exposing networks to threats such as double-spending, Sybil attacks, smart contract vulnerabilities, transaction laundering, and large-scale financial fraud. At the same time, the emergence of quantum computing introduces a fundamental challenge to classical cryptographic mechanisms particularly Elliptic Curve Digital Signature Algorithm (ECDSA) and RSA that form the backbone of blockchain authentication and transaction verification. This paper presents a comprehensive study of Machine Learning (ML) techniques and Post-Quantum Cryptographic (PQC) frameworks for strengthening blockchain security and threat detection. The study reviews supervised, unsupervised, and deep learning models used for fraud detection, anomaly identification, smart contract vulnerability analysis, and blockchain transaction monitoring. In parallel, it examines quantum-resistant cryptographic algorithms emerging from the NIST post-quantum standardization process, including lattice-based, hash-based, and code-based schemes, and evaluates their suitability for blockchain environments. Furthermore, the paper analyzes the limitations of ML-based security mechanisms and the practical challenges of integrating PQC into decentralized infrastructures, including scalability, key size overhead, and performance trade-offs. A comparative analysis highlights that ML enhances adaptive behavioral threat detection, while PQC ensures long-term cryptographic resilience against quantum attacks. Therefore, the study emphasizes the importance of a hybrid ML–PQC security model that combines intelligent anomaly detection with quantum-resistant cryptographic protection. Finally, the paper identifies key research challenges and outlines future directions toward building scalable, adaptive, and quantum-secure blockchain ecosystems capable of supporting next-generation decentralized applications.
Ashkan Safari, Amir Aminzadeh Ghavifekr, Amir Rikhtegar Ghiasi
• A private Ethereum-based discrete-event blockchain is developed for P2P energy trading. • Smart contracts using Solidity automate market matching, settlement, and tokenization. • Platform integrates ERC-20 token framework to support secure energy transactions. • Gas fee modeling and minimization are implemented for cost-efficient operations. • Validated on IEEE 14-Bus multi-community system with real dynamic market behavior. Due to the fast growth in renewable energy production, which enables households to sell excess power directly and better manage its intermittent nature, the Peer-to-Peer (P2P) energy market has become considerably more established, as it’s aligned with the decentralization and digitalization of power systems and local markets. It’s a system that lets energy consumers and producers trade energy directly with one another. Furthermore, the presence of blockchain technology increases these techno-economic advantages for energy systems, particularly when integrated with P2P energy trading. Consequently, a wide range of works have considered the integration of P2P and blockchain; however, few of them have investigated the full details of this system, including its performance, Transaction (TX) gas fee in a secure and private platform. Following this, the proposed work presents an Ethereum-based discrete event Private blockchain and its integration with P2P energy trading market in a Multi-Community Energy System (MCES). Considered on an IEEE 14-Bus MCES with 3 communities and 20 participating agents (11 consumers, 5 generators, and 4 not participating in the market), the platform uses Web3 and Ethereum Virtual Machine (EVM) for execution. Smart contracts, written in Solidity, handle tokenization by Ethereum Request for Comment 20 (ERC-20) standards and market matching/settlement discrete event processes. On the secure performance, the proposed platform is based on Keccak-256 for immutability, while TX gas fees are minimized. Results show synchronized peak demands up to 60 (MW), diurnal Renewable Energy Sources (RES) outputs peaking at 40 (MW), alongside the market prices, and agents’ revenues. Finally, the reliability of the platform is evaluated based on two main metrics of Transaction Success Rate (TSR) = 1 (100%) and Transaction Per Second (TPS) = 3.29, with a primary mode centered at 1.8–2.0 TPS, a secondary peak at 4.0–4.2 TPS.
Abstract E-commerce platforms are increasingly targeted by sophisticated cyber-attacks that exploit the inherent vulnerabilities of centralised authentication architectures. Password-based systems, two-factor authentication, and centralised identity stores have demonstrated persistent susceptibility to phishing, credential stuffing, man-in-the-middle interception, and large-scale data breaches. This paper investigates the design, implementation, and evaluation of a blockchain-based authentication system as a structural response to these limitations. The proposed system leverages Ethereum’s public-key cryptographic infrastructure, MetaMask wallet integration, Web3.js, JSON Web Tokens (JWT), React.js, and Node.js to deliver a decentralised, tamper-proof, and privacy-preserving authentication flow for e-commerce applications. A proof-of-concept prototype was built and evaluated against conventional authentication methods across eleven analytical dimensions, including security architecture, data integrity, identity management, scalability, trust models, and regulatory alignment. Results confirm that the blockchain-based approach eliminates credential database attack surfaces, enables non-repudiable transaction signing, supports Zero-Knowledge Proof (ZKP) verification, and implements Self-Sovereign Identity (SSI) principles that return data ownership to users. Scalability under high transaction volumes and user onboarding complexity are identified as the primary adoption barriers, suggesting that hybrid architectures may offer the most pragmatic near-term deployment pathway. The study contributes an empirically grounded, real-world implementation perspective to the growing literature on blockchain security applications, and provides actionable guidance for e-commerce operators, security practitioners, and researchers exploring decentralised identity systems. Keywords Blockchain Authentication, E-Commerce Security, Ethereum, Metamask, Decentralised Identity, Zero-Knowledge Proofs, Self-Sovereign Identity, JWT, Smart Contracts, Credential Stuffing, Public-Key Cryptography.
Alexander Kropiunig, Svetlana Kremer, Bernhard Haslhofer
Crypto Key Opinion Leaders (KOLs) shape Web3 narratives and retail investment behaviour. In volatile, high-risk markets, their credibility becomes a key determinant of their influence on followers. Yet prior research has focused on lifestyle influencers or generic financial commentary, leaving crypto KOLs' understandings of motivation, credibility, and responsibility underexplored. Drawing on interviews with 13 KOLs and self-determination theory (SDT), we examine how psychological needs are negotiated alongside monetisation and community expectations. Whereas prior work treats finfluencer credibility as a set of static credentials, our findings reveal it to be a self-determined, ethically enacted practice. We identify four community-recognised markers of credibility: self-regulation, bounded epistemic competence, accountability, and reflexive self-correction. This reframes credibility as socio-technical performance, extending SDT into high-risk crypto ecosystems. Methodologically, we employ a hybrid human-LLM thematic analysis. The study surfaces implications for designing credibility signals that prioritise transparency over hype.
Materi ini membahas kerangka penilaian kehalalan aset kripto menurut pendekatan Muhammadiyah dengan menekankan pemisahan antara teknologi blockchain sebagai infrastruktur dan aset kripto sebagai objek transaksi. Kripto diposisikan sebagai harta (māl mutaqawwām) sehingga hukum asal pemanfaatannya adalah mubah muqayyad, yaitu boleh tetapi terikat syarat-syarat syariah. Kehalalan transaksi kripto ditopang oleh dua pilar utama, yakni keabsahan objek dan kehalalan mekanisme transaksi. Pada sisi objek, aset dinilai layak apabila memiliki fungsi nyata, seperti penyimpanan nilai, utilitas, tata kelola, atau dukungan terhadap infrastruktur teknologi; sebaliknya, aset yang terkait ekosistem haram, skema penipuan, perjudian, atau token tanpa utilitas yang murni spekulatif dinilai tidak memenuhi syarat. Pada sisi mekanisme, transaksi spot atas aset yang halal pada dasarnya dibolehkan, sedangkan futures, margin, leverage, short selling, pump-and-dump, dan crypto lending berbasis imbal hasil tetap dipandang bermasalah karena mengandung unsur riba, gharar, maysir, atau penjualan atas barang yang tidak dimiliki. Kajian ini juga menunjukkan bahwa beberapa praktik Web3 memerlukan pembedaan hukum yang lebih rinci, seperti liquidity providing, staking pools, native validator staking, dan airdrop, yang statusnya bergantung pada struktur akad, sumber imbalan, serta substansi aktivitas yang difasilitasi. Pada akhirnya, materi ini menegaskan pentingnya literasi, kehati-hatian, dan kepatuhan terhadap hukum negara dalam aktivitas kripto, termasuk pembatasan penggunaan kripto sebagai alat pembayaran. Kata kunci: aset kripto, hukum Islam, Muhammadiyah, Web3, DeFi, staking, transaksi syariah
The increasing incidents of forged academic certificates and the inefficiencies of traditional verification systems highlight the urgent need for a secure, transparent, and reliable credential management mechanism. Conventional systems are largely centralised, time-consuming, and prone to manipulation, resulting in high administrative overhead and verification delays. We prepared an AI-Based Decentralized Academic Credential Verification System that leverages blockchain technology, smart contracts, and artificial intelligence to provide a tamper-proof platform for issuing, storing, and validating academic records. Artificial Intelligence is integrated to perform anomaly detection during certificate issuance and AI-based facial authentication for students, enhancing security and preventing fraudulent entries before blockchain storage. Students gain permanent, secure access to their verified credentials, while verifiers, such as employers, can instantly authenticate certificates using blockchain records or QR code scanning, eliminating the need for intermediaries. By integrating Ethereum, Solidity, Web3.js, IPFS, React.js, and AI models, the proposed system delivers a decentralized, scalable, and cost-effective solution that enhances trust, reduces verification time, and effectively combats academic credential fraud.
Technical implementation of NY Senate Bill S.7263 compliance architecture providing cryptographic enforcement of professional licensure requirements in AI chatbot systems. Presents five-layer architecture (Decision Rights Registry, Organizational Trust Graph, Accountability Ledger, Institutional Safety Net, Governance Version Control) with thirty enumerated workarounds including deepfake-based authorization simulation, Web3/DAO evasion, quantum computing threats, side-channel attacks, and legal evolution strategies. Establishes comprehensive prior art for defensive patent protection. Filed February 25, 2026, seven days before S.7263 advanced to Third Reading.
Open access
Ethics and Social Impacts of AI
Artificial Intelligence in Healthcare and Education
This project is not abandoned. It is frozen. Reason for freeze: The work entered an infinite refinement loop. The architecture evolved, but external peer review, validation feedback, or community contribution did not materialize. Continuing alone without structural feedback ceased to be research and became exhaustion. What is SDIA? SDIA — Semantic Domain Integration Architecture — is the governing umbrella of the DEIP ecosystem. It is not a product, not a platform, not a vendor pattern. It is an architectural invariant: business domain semantics govern every layer of the integration stack simultaneously — gateway routing, runtime resolution, orchestration, event channels, and data contracts. The governing principle: 👉 The domain is the primary key. Always. Across every layer. Regardless of technology. What This Document Establishes This document is the comprehensive prior art record for the SDIA ecosystem. It establishes formal protection across: 4 core components — GDCR · DDCR · ODCP · DCEP 1 forward declaration — DCBP (Domain-Centric Data Pattern, discovered March 23, 2026, Warsaw) 50 named architectural variants 90 control-plane and metadata routing variants 11 domain application patterns — Kubernetes · Multi-Cloud · Event-Driven · AI/LLM · Industrial IoT · Service Mesh · Data Mesh · GraphQL Federation · Zero Trust · Semantic Versioning · Blockchain/Web3 Complete mathematical model — f(k) → v — deterministic, O(1), fail-fast, language-agnostic, platform-agnostic Full algorithmic prior art — Phantom v12 reference implementation (JavaScript) + cross-language ports (Lua · Java · C# · Python) The Mathematical Core At its foundation, SDIA routing is defined as: f(k) → v Where k = routing key constructed from semantic domain components, and v = resolved backend endpoint. Properties: Deterministic — same input = same output, always, in any language, any platform O(1) complexity — independent of metadata store size, domain count, or platform Fail-fast — unregistered keys rejected at ~0.1ms, zero backend exposure Total over governed space — only explicitly registered combinations resolve Invariant under infrastructure change — engine never changes, metadata evolves Validated Results ~2,067,904 requests processed 100% routing accuracy · zero routing failures Sub-4ms resolution latency · 99.99% uptime 8 enterprise platforms · 5 programming languages · 13 configurations 42 IoT sensors · 4 environments Platforms: SAP BTP APIM · AWS API Gateway · Azure APIM · Kong Gateway · Kong on Kubernetes · Netflix Zuul · Industrial IoT (Mosquitto + Node-RED) · Kubernetes + Istio Ecosystem Architecture Layer Component Role Gateway GDCR Semantic facade — 1 proxy per domain, not per system Runtime DDCR 7-stage deterministic resolution engine Orchestration ODCP Domain-centric package, iFlow, and credential governance Events DCEP Domain-centric event channel governance Data DCBP Domain-centric data contracts and data product routing Umbrella SDIA Unifying semantic addressing paradigm across all layers What SDIA Protects Any implementation — regardless of vendor, product name, platform, or programming language — that: Uses domain-centric routing as the primary organizational principle Employs metadata-driven resolution satisfying f(k) → v Implements semantic URL patterns: /domain/entity/action/target Enforces domain boundaries as security, governance, or semantic perimeters Decouples consumer addresses from backend implementation details ...constitutes a derivative application of the SDIA prior art established February 6, 2026. Prior Art Chain February 6, 2026 — Wayback Machine (Marco Zero · first public disclosure) February 7, 2026 — Medium (first formal publication) February–March 2026 — Zenodo (5 DOI-published specifications) March 2026 — IP.com Prior Art Database · IPCOM000277630D–000277633D March 2026 — USPTO Trademark Applications · 99680660 (GDCR) · 99691792 (DDCR) Version History Version Status DOI v2.0 ✅ CURRENT zenodo.org/records/18877636 v1.0 ⚠️ Superseded zenodo.org/records/18877636 Links Repository: github.com/rhviana/deip SDIA Extension (this document): https://zenodo.org/records/18877636 DEIP Source of Truth: https://doi.org/10.5281/zenodo.19004802 Citation (v2.0) APA: Viana, R. L. H. (2026). SDIA — Semantic Domain Integration Architecture: Complete Extensions, Variants & Prior Art Documentation — Version 2.0. Zenodo. https://zenodo.org/records/18877636 Author Ricardo Luz Holanda Viana Enterprise Integration Architect | Creator of DEIP Ecosystem | SAP BTP Integration Suite Expert | SAP Press Author Warsaw, Poland · March 2026 · ORCID: 0009-0009-9549-5862 "Technology changes by the quarter. Business processes last for decades. The domain never lies."
Alinsha S, A Althaf, Chris P Reji, Fahad Mohammed A · 6 authors
Electronic voting techniques have gained popularity as a contemporary alternative to traditional paper-based elections because of their effectiveness and accessibility. The current electronic voting methods, however, have significant security flaws, such as multiple voting, identity theft, centralized control, and a lack of transparency. Despite the fact that blockchain technology is decentralized, immutable, and auditable, many blockchainbased voting systems merely employ cryptographic credentials and lack robust voter identification verification processes. The blockchain-based electronic voting system SecureVote, which incorporates multi-factor verification and facial biometric authentication, is proposed in this study. Ethereum smart contracts are used by the system to guarantee transparent result calculation and tamper-proof vote storage. SecureVote employs one-time password (OTP) validation as a secondary authentication method in conjunction with client-side facial recognition and deep learning-based feature extraction. The suggested design makes use of Web3.js and a decentralized application (DApp) concept for safe wallet-based transaction signing and blockchain interaction. High authentication reliability, avoidance of double voting, and effective transaction processing with low gas overhead are all demonstrated by the experimental results. SecureVote combines biometric multifactor authentication with blockchain immutability to enhance the reliability, transparency, and integrity of remote voting.
Open access
2 source records
Internet Traffic Analysis and Secure E-voting
Blockchain Technology Applications and Security
Advanced Steganography and Watermarking Techniques
O presente artigo formaliza o <i>Economic Centrifugal Dispersion Model</i> (ECDM) como uma estrutura analítica de alta fidelidade para a compreensão da propagação de capital e incentivos em ecossistemas de Web3 e finanças descentralizadas (DeFi). Fundamentado em uma convergência interdisciplinar entre a praxeologia da escola austríaca, a física estatística e a dinâmica de sistemas complexos, o modelo propõe que a injeção monetária em sistemas baseados em <i>blockchain</i> gera forças dispersivas análogas às forças centrífugas. A pesquisa detalha a formulação matemática do modelo, integrando equações diferenciais não lineares para descrever o comportamento de variáveis como o influxo de capital, a velocidade de circulação e a resistência institucional. Adicionalmente, o trabalho explora a aplicação da Lei de Benford como ferramenta de auditoria estatística para detecção de anomalias em transações <i>on-chain</i> e propõe o Índice de Fragilidade Tokenômica (FTF) como métrica de risco sistêmico. Através da análise de expoentes de Lyapunov e diagramas de bifurcação, demonstra-se como pequenas flutuações paramétricas em Organizações Autônomas Descentralizadas (DAOs) podem induzir regimes de caos determinístico. O estudo conclui que a sustentabilidade de protocolos descentralizados depende de um equilíbrio crítico entre a dispersão centrífuga e a coesão institucional, oferecendo um arcabouço para o <i>design</i> de sistemas econômicos resilientes.<br>
The article provides a comprehensive study of the systemic transformation of corporate governance in the context of global digitalization, characterized by the transition from hierarchical models to decentralized structures. It is substantiated that blockchain technology emerges as a new institutional foundation, where traditional bureaucratic verification mechanisms are replaced by algorithms based on cryptographic protocols. A particular emphasis is placed on the distinctions between public (permissionless) and private (permissioned) blockchain networks regarding the immutability of records. The study examines the concept of decentralized governance and the functional specifics of Decentralized Autonomous Organizations (DAOs), where operational logic and management regulations are implemented directly into the software code of smart contracts. This minimizes the influence of traditional administrative management and mitigates "single point of failure" risks. The theoretical framework of the work builds upon classical theories, such as Oliver Williamson’s "Transaction Cost Theory," Michael Jensen and William Meckling’s "Principal-Agent Theory," and the scholarly works of Harold Demsetz. Blockchain is analyzed as a tool that renders market exchange more economically viable than hierarchy. The author proposes an original interpretation of a multi-tier blockchain model for enterprise management, encompassing the infrastructure, network, consensus, data, and application layers. The essence of consensus algorithms (PoW, PoS, DPoS) is disclosed through the prism of management. Special attention is devoted to international experience in legal regulation and the processes of implementing these standards within the legislative framework of Ukraine. The economic effect and practical aspects of the study are analyzed through successful case studies of global corporations (IBM, Amazon, Oracle, Walmart, Nestlé) and Ukrainian business initiatives (TASCOMBANK, SETAM, Agroxy, Softengi). These cases demonstrate a significant reduction in verification costs, lower operating expenses, and increased transparency in supply chains. The transition to an innovative "Management-as-a-Service" paradigm is justified, where blockchain serves not merely as software but as a new firm architecture. Conclusions are drawn regarding a shift in the management ontology – moving from "governance by humans" to algorithmic "governance by code," which ensures data immutability, cyber resilience, and the possibility of real-time preventive risk monitoring. References: 1. Kuzmina, T. O., Berezovskyi, Yu., Kalinskyi, Ye., Arliukova, Yu., & Trofymchuk, A. (2024). 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Este relatório de pesquisa investiga a aplicação metodológica da analogia da força centrífuga ao campo da ciência econômica, com foco especial na dispersão de capital, renda e agentes em ambientes de alta volatilidade e inovação tecnológica. Através da construção do <i>Economic Centrifugal Dispersion Model</i> (ECDM), o estudo analisa como o influxo de capital () e a velocidade das transações (), ponderados pela resistência regulatória e institucional (), determinam a expansão ou a contração de mercados. A tese central sustenta que os sistemas econômicos contemporâneos, especialmente aqueles fundamentados em tecnologias Web3 e <i>tokenomics</i>, operam em ciclos de centralização-expansão que podem ser modelados matematicamente como sistemas rotacionais físicos. O relatório integra teorias da Nova Geografia Econômica de Paul Krugman, a praxeologia de Ludwig von Mises, o Efeito Cantillon e a Teoria do Caos para explicar a migração de valor do centro para a periferia. Utilizando evidências de teoria da organização, capital humano e dinâmica de redes, conclui-se que o ECDM oferece uma ferramenta preditiva robusta para identificar bolhas especulativas, processos de desintermediação e reequilíbrios de mercado em DAOs e sistemas financeiros descentralizados.<br>
The increasingly complex Web3 ecosystem and decentralized finance (DeFi) landscape demand ever higher levels of technical expertise and financial literacy from participants. The Intent-Centric paradigm in DeFi has thus emerged in response, which allows users to focus on their trading intents rather than the underlying execution details. However, existing approaches, including Typed-intent design and LLM-driven solver, trade off expressiveness, trust, privacy, and composability. We present OMNIINTENT, a language-runtime co-design that reconciles these requirements. OMNIINTENT introduces ICL, a domain-specific Intent-Centric Language for precise yet flexible specification of triggers, actions, and runtime constraints; a Trusted Execution Environment (TEE)-based compiler that compiles intents into signed, state-bound transactions inside an enclave; and an execution optimizer that constructs transaction dependency graphs for safe parallel batch submission and a mempool-aware feasibility checker that predicts execution outcomes. Our full-stack prototype processes diverse DeFi scenarios, achieving 89.6% intent coverage, up to 7.3x throughput speedup via parallel execution, and feasibility-prediction accuracy up to 99.2% with low latency.
Rong Zhao, Jiaxiang Sun, Haoran Yin, Lehao Lin · 6 authors
The quest for carbon neutrality in the 21st century has led to the rise of decentralized low-carbon energy systems as a promising solution. Blockchain technology has played a pivotal role in catalyzing this transition, with various Web3 projects exploring decentralized operational models and carbon credit markets. However, there is a notable gap in harnessing blockchain’s potential to integrate electric vehicles (EVs) into low-carbon energy systems effectively. This article addresses this gap by proposing a decentralized low-carbon EV charging system that enables transactions between individual low-carbon energy producers and EV owners. Leveraging blockchain and smart contracts, the proposed system issues low-carbon tokens to certify and incentivize environmentally conscious charging behaviors, while enabling token circulation to further promote low-carbon participation. A blockchain-based double auction mechanism is designed to ensure fair and efficient energy allocation, achieving individual rationality, incentive compatibility, and social welfare maximization. By incentivizing user engagement and ensuring fair transactions, this model paves the way for sustainable EV integration within low-carbon energy systems.
Nach dem anfänglichen Hype um die Blockchain-Technologie, die erstmals durch Satoshi Nakamotos Bitcoin bekannt wurde, hat sich der Bereich in Richtung der Entwicklung ausgereifter Blockchain-basierter Systeme und Anwendungen weiterentwickelt. In dieser weitläufigen Landschaft fungieren die einzelnen Blockchain-Plattformen und Ökosysteme häufig als isolierte Silos, die strikt von anderen Plattformen getrennt sind und über keine inhärenten Interoperabilitätsfunktionen verfügen. Trotz der Existenz etablierter Mechanismen für den Austausch von Coins und Tokens über heterogene Blockchains hinweg müssen Entwickler von Web3-Anwendungen, die aus Smart Contracts bestehen, möglicherweise auf individuelle Anpassungen zurückgreifen, um Blockchain-übergreifende Anwendungen zu ermöglichen. In vielen Fällen sind diese Ansätze nicht ausreichend skalierbar, wenn die Anwendung auf zusätzlichen Blockchain-Plattformen verteilt werden muss. Folglich sind weitere Anpassungen erforderlich. Darüber hinaus stellt sich die Frage der Speicherung gemeinsamer Anwendungsdaten, die mit Smart Contracts kompatibel und für das dezentrale Konzept der Blockchain geeignet sein muss. Diese Arbeit präsentiert einen Vorschlag für eine Blockchain-übergreifende Datenspeicherlösung, die das InterPlanetary File System (IPFS) als dezentrale Off-Chain-Persistenzschicht und Blockchain-Oracles nutzt, um Lese- und Schreibvorgänge zu ermöglichen. Der Einsatz von incentivierten Vermittlern in Verbindung mit einem neuartigen Oracle-Verifizierungsmechanismus für Schreibzugriffe erlaubt die Formulierung eines Lösungsentwurfs für ein vollständig dezentrales System. Dieser Ansatz ermöglicht die lose gekoppelte Verbindung von Blockchain-übergreifenden Anwendungen, wobei die einzelnen Blockchain-Plattformen nicht direkt aufeinander zugreifen müssen. Wir präsentieren eine prototypische Implementierung des Lösungsentwurfs und bewerten anschließend den Prototyp hinsichtlich Kosten, Leistung und Sicherheit. Im Vergleich zu einer hypothetischen Referenzlösung, die eine zentralisierte Persistenzschicht verwendet, zeigen wir, dass vollständige Dezentralisierung die Betriebskosten und die Leistung sowie die Integrität der gemeinsam genutzten Daten erheblich negativ beeinträchtigt.
This paper examines the most common smart contracts security issues included in the OWASP Smart Contract Top 10. The purpose of the study is to synthesize a set of recommendations that can help eliminate these key weaknesses or mitigate associated risks. The relevance of this research stems from the rapid development of Web3 technologies, particularly the expanding use of smart contracts. According to various estimates, this market is expected to grow at a CAGR of approximately 25% in the medium term. Furthermore, another factor contributing to the relevance of this topic in Russia is the lack of comprehensive regulation for this class of instruments, especially concerning security requirements and compliance verification. This paper proposes a smart contracts lifecycle model best suited to the research context, describing each stage with particular attention to its impact on security. Existing security weaknesses classifiers specific to smart contracts are identified, with a detailed review of the ten most common vulnerability classes. Based on this review, recommendations are provided to prevent these vulnerabilities or mitigate their associated risks. The findings can be applied by both smart contract developers and security auditors. Additionally, the presented materials contribute to the development of a methodological framework for addressing regulatory issues in the industry.
Abstract The rapid evolution of computer technology is changing digital ecosystems, business processes, governmental operations, and how humans use computers to perform tasks. This paper is a comprehensive analysis of modern computer technology trends, including advancements in artificial intelligence; cloud computing; edge computing; the internet of things (IoT); 5G networks; blockchain; cybersecurity; quantum computing; emerging technologies such as immersive technologies and robots; big data; and sustainable computing. In this extensive review of how these advances work together to drive digital transformation, this paper synthesizes current research from academic literature with real-world applications of computer technologies from industry. The paper includes discussions regarding the emergence of generative AI and multimodal ML methods, explainable AI, and intelligent automation as new methods to generate better decision-making results and innovations within the business sector. It includes descriptions of multi-cloud/hybrid architectures, serverless computing, edge AI, and fog computing as ways to achieve low-latency scalable infrastructure; and ultimately describes use cases for using IoT with AI-enabled analytic platforms for smart cities; IIoT; and real-time data ecosystems. Cybersecurity subjects discussed in this paper include innovations such as Zero Trust Architecture, AI-based threat detection, and quantum-resistant cryptography. Emerging technology paradigms like blockchain-powered decentralized apps (DApps), Web3 environments, quantum algorithms, AR/VR/MR technologies, and smart robots are examined for potential to change organisations and challenges encountered during their adoption. 'Green computing' strategies are discussed in terms of developing low carbon power systems, creating carbon aware IT systems, and developing sustainable IT practices that reduce environmental impact. This study also explores advances in the fields of human computer interaction, accessibility technology, and ethical governance frameworks, with a focus on society's responsibility to develop inclusive and responsible technological products. The research has revealed multiple challenges that prevent sustainable technology development from progressing, including: scalability; interoperability; regulatory compliance; security threats; digital equity; and adapting to the workforce's new skill sets caused by this shift to sustainable technology. Therefore, developing sustainable technology will require multi-disciplinary co-operation; ethical guidance/path; strategic governance; and continuous innovation in technology development. By combining a technical assessment of IT technology along with a social perspective; an umbrella of knowledge will form to forecast how IT technologies will advance during the period referred to as the era of Intelligent Connected Systems.
Abstract Globalization has fundamentally transformed English literature publishing, creating a dynamic interplay between unprecedented market expansion and significant challenges to creative diversity. This seminar paper investigates how economic mergers, technological disruptions, and cultural flows have reshaped the industry since the 1980s, when independent presses gave way to the dominant "Big Five" conglomerates Penguin Random House, HarperCollins, and others that now control over 80% of English-language fiction sales. These giants prioritize profitable, transmedia blockbusters like the Harry Potter series, fostering a "winner-takes-all" economy where top titles capture 90% of profits, often at the expense of experimental or midlist works.Counterbalancing this consolidation, digital platforms such as Amazon Kindle Direct Publishing and e-books have democratized access, empowering self-published successes like The Martian and enabling diaspora authors from regions like Nigeria and the Philippines to reach global audiences. Translation booms, fueled by prizes like the Man Booker International, introduce hybrid narratives Salman Rushdie's multilingual *Midnight's Children*, Mohsin Hamid's migratory Exit West that embody HomiBhabha's "third space" of cultural negotiation.Yet, risks loom: algorithmic recommendations promote formulaic "McLiterature," English hegemony marginalizes non-translated voices , and profit motives encourage tokenistic diversity. Through case studies of Penguin Random House's global strategies, Amazon's market dominance, and indie rebels like Tilted Axis Press, alongside emerging AI tools and Web3 royalties, the paper evaluates impacts on content, authors, and pluralism. It concludes that while globalization amplifies voices, safeguarding literary risk-taking require balancing commercial imperatives with equitable, culturally rich publishing in our interconnected era.
Federated learning (FL) enables collaborative model training over distributed private data. However, sustaining open participation requires incentive mechanisms that compensate contributors for their resources and risks. Enabled by Web3 primitives, especially blockchains, recent FL proposals incorporate incentive mechanisms for open participation, yet most focus primarily on algorithmic design and overlook system-level challenges, including coordination efficiency, secure handling of model updates, and practical usability. We present FWeb3, a practical Web3-enabled FL framework for incentive-aware training in open environments. FWeb3 adopts a modular architecture that separates FL functions from Web3 support services, decoupling the off-chain training and data plane from on-chain settlement while preserving verifiable incentive execution. The framework supports pluggable aggregation and contribution evaluation methods and provides a browser-native DApp interface to lower the participation barrier. We evaluate FWeb3 in real-world settings and show that it supports end-to-end incentive-aware FL with transaction and data-transfer overheads of only 21.3% and 3.4% in WAN; FWeb3 also deploys from zero configuration in under 3 minutes and enables user onboarding in under 1 minute.
The article examines digital asset inheritance in Web3 ecosystems, where the economic value of cryptocurrencies, NFTs, tokenised assets, cloud-stored intellectual property and high-value platform accounts is not supported by sufficiently reliable legal and technical mechanisms for intergenerational transfer. The relevance of the topic is determined by the fact that traditional inheritance law is oriented mainly toward tangible objects or documented property rights, whereas blockchain-native assets depend on private keys, platform accounts are restricted by terms of service, and the cross-border nature of digital portfolios complicates the determination of applicable law. The purpose of the study is to develop an integrated conceptual model of the Self-Sovereign Digital Heritage System (SSDHS), combining self-sovereign identity, decentralised identifiers, verifiable credentials, digital safes, smart-contract execution of inheritance conditions and regulatory compliance. The methodological basis includes comparative legal analysis, system analysis, functional modelling, conceptual design and regulatory impact assessment. The article substantiates a six-layer SSDHS architecture consisting of the identity layer, digital asset inventory layer, secure storage layer, blockchain layer, inheritance execution layer and legal compliance layer. It is shown that SSI addresses the problem of cryptographic heir authentication, whereas the digital safe ensures secure preservation of private keys, inheritance instructions, DID material and the digital testament. A comparative analysis of the regulatory frameworks of the United States, the European Union and Ukraine is conducted, including fiduciary access to digital assets, electronic wills, digital identity, crypto-asset markets, personal data protection, virtual assets and electronic identification. The study substantiates that SSDHS can serve as a legal-technological reference model for reducing the risk of digital asset loss caused by inaccessible private keys, improving heir identification reliability, reducing dependence on centralised intermediaries and preparing future legislative solutions for digital heritage.
<b>Unifiedknowledge | የጥምር ዕውቀት (Yeht'mr Urwuk'eht) - The Pedagogical Key</b><b>A Position Paper from the Black Open University and the AlkebulanMeta Learners' Network</b><b>Abstract</b>This position paper, published by the Black Open University (BOU), presents the Unifiedknowledge approach to education as the official pedagogical framework of the Alkebulan Network-State of Learners. It formalises the African Indigenous Relational-Embodied Epistemology (AIREE), demonstrating its coherence through a high-level Quantum-Continuum Model that bridges structured Kemetic cosmology narratives with contemporary physics.The paper argues that dominant modern epistemologies are structurally founded upon a series of separations - knower from known, mind from body, ethics from discovery, abstraction from lived coherence - which have yielded extraordinary technical capacity alongside profound epistemic fragility. Against this fragmentation, Unifiedknowledge offers a coherent method of knowing that trains the perceiver to act with conscientious consistency from the quantum scale to the manifest world.<b>Core Contributions:</b><b>Gzat (Province):</b> A revolutionary conception of space as a coherent domain of relation spanning six scales - personal, family, community, nation, Earth, and Universe. Gzat reunites knower with known, establishing knowledge as a participatory act within a field of intelligence.<b>Kemetic Quantum Cosmology:</b> A detailed mapping of Kemetic principles onto quantum phenomena:Nu-Nun (𓈟𓏲 / 𓈟𓏲𓏏) → Quantum Vacuum / Zero-Point FieldPtah (𓊪𓏏𓎛) → Binding Force (Strong Nuclear / Pauli exclusion)Atum (𓍝𓏏𓀭) → Change Force (Weak Nuclear)Ra (𓂋𓂝) → Photon / c (the mediator)Ma'at (𓌴𓏏) → Unitarity / Conservation Laws / Ethical constraintTehuti (Djehuty/Thoth) → Measurement Interface / Agential cutHeru-Set → Coherence/Decoherence dynamicḪmnw Nṯrw (Eight Primordial Qualities) → Quantum numbers / vacuum conditions<b>KICAS-9 (Kinaesthetic-Integrated Coherent Awareness State):</b> The cultivated state where Knowledge, Insight, Competencies, Abilities, and Skills fuse into a single coherent awareness expressed seamlessly through body, breath, and mind. This is presented as the ultimate aim of education.<b>Mantis Memory Matrix (MMM):</b> A 27-node geometric cognitive technology realised through Dankira Tehwagi (African Warrior Dance). The MMM functions as a spatial memory palace, fractal mind-map, and training ground for 4-dimensional awareness (tesseract/double rotation), enabling practitioners to internalise advanced scientific and mathematical concepts as embodied, geometric intuition.<b>Kalinda and the Martial-Art-Science Continuum:</b> An analysis of African diaspora martial traditions (Kalinda, Brukins, Juego de Maní) as high-stakes epistemic technologies - laboratories for testing coherence under pressure, where rhythm, ethics (Maat), and relation are enforced through immediate physical consequence.<b>Validation Through Narrative:</b> A case study of <i>Built to Last: The Engineering of a Legend</i>, a narrative collaboration with Reggae/Dancehall icon Cutty Ranks, demonstrating how cultural narratives function as quantum-cultural artifacts and how story operates as a technology for consciousness.<b>Pedagogical Architecture:</b> The Unifiedknowledge Pedagogical Framework, comprising 2 cultural reference points (panAfrica, Kemetic), 6 educational objectives (Peace, Development of Mind's Core, Principled Living/Maat, Productive Capacity, Healthful Space, Humanity Overstood), and 10 operational principles (Hashima, Maat [Ethical], Maat [Mathematics], Tehwagi Asab, Gzat, Harmony with Nature, Mind-Breath-Body Harmonies, Unifiedknowledge Language, Curriculum/Graduations/Accreditation, The Story).<b>Validation Layer</b>The paper offers a tripartite validation of its epistemology:<b>Theoretical:</b> Through structural analogy between Kemetic cosmology and quantum physics<b>Pedagogical:</b> Through embodied geometric practices (MMM, Dankira Tehwagi) that train cross-scale coherence<b>Narrative-Hermeneutic:</b> Through analysis of cultural narratives as records of consciousness experiments<b>Institutional Context</b>This framework is not abstract theory but tested pedagogical practice, implemented for over two decades in primary and secondary schools, colleges, and universities across the UK, the Caribbean, Africa, and the United States. The Black Open University (blackopenuniversity.ow3.io) serves as the flagship learning workshop, while the broader AlkebulanMeta ecosystem (alkebulanmeta.app) functions as a developing Network State with its own epistemology, economy (STACs, Zehr/Behr tokens), territory (members' Gzats bound by the Soil Covenant), and governance (EcoSysMaat DAO).<b>Conclusion</b>Unifiedknowledge is offered as both a shield and a spear - a shield of legitimacy protecting the depth within African epistemic frameworks, and a spear for piercing reductionist curricula. It argues that African Indigenous knowledge survives and thrives when it is relational, embodied, ethical, and scale-consistent, and that the recovery of this coherent method of knowing is a necessary corrective for navigating the complexities of 21st-century science, systems thinking, and human development.<b>Keywords:</b> African Indigenous Epistemology; Relational-Embodied Epistemology; Quantum-Continuum Coherence; Kemetic Cosmology; Nu-Nun; Ptah; Atum; Ra; Maat; Tehuti; Unifiedknowledge; KICAS-9; Mantis Memory Matrix; MMM; Dankira Tehwagi; Kalinda; Martial-Art-Science; STEM Education; STEAM Learning; African Pedagogy; Decolonial Education; Consciousness Studies; Observer Effect; Quantum Substrate; Gzat; Heka; Black Open University; AlkebulanMeta; Network State; Soil Covenant; Web3 Education; OnWeb3 eBooks; STACs; Cutty Ranks; Built to Last; Afrofuturism; KaZimba Ngoma; Bogle-L'Ouverture; Cognitive Coherence; Embodied Cognition; 4E Cognitive Science; Practice Levels; Overstanding; PanAfricanism.<b>Note on Access</b>This uploaded version of the Position Paper is intentionally <b>redacted</b> in accordance with Indigenous educational protocols that distinguish between the public map and the guided journey.The following sections have been partially redacted to protect advanced pedagogical teachings that require direct transmission through prepared guides:Layer 4: Fractal Unfolding and Embodied "Invisibility"Layer 5: Dancing in the Fourth Dimension – The Hypercube as Gatewayአርባዕቱ መሰረታት (Ahrbaurtu Mehsehrehtat) | The Kinetic Tesseract: Embodying the Double CrownThe Fourth Dimension as the Realm of Liberated MaatCognitive Application: The Mind as a 4D NavigatorMartial Art-Science Synthesis: Invisibility as Dimensional MisalignmentThis redaction follows the principle that some forms of knowing must be earned through practice because their potency and safe application depend entirely on the prepared state of the recipient. The full, unredacted version of this paper is <b>freely available</b> to all readers through the Black Open University and AlkebulanMeta platforms, where it can be accessed in browser-readable format alongside the pedagogical context, community, and guidance necessary for its proper integration.<b>Access the full version here:</b><br>https://thekey.ow3bk.ow3.ioor request by contacting unifiedknowledge@gmail.com Readers are encouraged to explore the complete work, engage with the community, and where called, walk the path with those who have walked it before.<br>
Oshani Seneviratne, Fernando Spadea, Adrien Pavao, Aaron Micah Green · 5 authors
Temporal Web analytics increasingly relies on large-scale, longitudinal data to understand how users, content, and systems evolve over time. A rapidly growing frontier is the \emph{Temporal Web3}: decentralized platforms whose behavior is recorded as immutable, time-stamped event streams. Despite the richness of this data, the field lacks shared, reproducible benchmarks that capture real-world temporal dynamics, specifically censoring and non-stationarity, across extended horizons. This absence slows methodological progress and limits the transfer of techniques between Web3 and broader Web domains. In this paper, we present the \textit{FinSurvival Challenge 2025} as a case study in benchmarking \emph{temporal Web3 intelligence}. Using 21.8 million transaction records from the Aave v3 protocol, the challenge operationalized 16 survival prediction tasks to model user behavior transitions.We detail the benchmark design and the winning solutions, highlighting how domain-aware temporal feature construction significantly outperformed generic modeling approaches. Furthermore, we distill lessons for next-generation temporal benchmarks, arguing that Web3 systems provide a high-fidelity sandbox for studying temporal challenges, such as churn, risk, and evolution that are fundamental to the wider Web.
Materi ini membahas aspek praktis investasi dan trading aset kripto dengan pendekatan literasi risiko dan kehati-hatian, khususnya untuk membantu peserta memahami bahwa kripto pada dasarnya merupakan aset, sehingga interaksinya harus dianalisis sebagaimana interaksi pada ekosistem aset pada umumnya. Pembahasan dimulai dari kerangka besar ekosistem kripto yang menempatkan pengguna (aktor), platform (venue), dan aset (goods) sebagai tiga elemen utama pembentuk risiko, kemudian dilanjutkan dengan pengenalan spektrum aset kripto (coin, token, dan NFT), mekanisme kustodi (custodial vs non-custodial), serta pentingnya pengamanan private key dan seed phrase. Materi juga menguraikan mekanisme transaksi pada pasar spot di CEX (order book) dan DEX (AMM), termasuk peran liquidity provider, arbitrage, slippage, dan risiko likuiditas. Selain itu, dijelaskan berbagai aktivitas dalam ekosistem Web3 seperti staking, lending-borrowing DeFi, strategi long/short berbasis jaminan, hingga bahaya derivatif dan leverage yang dapat memicu likuidasi cepat. Selanjutnya, materi menekankan pentingnya analisis fundamental (tokenomics, aktivitas developer, metrik finansial, dan data on-chain), serta memberikan pengantar mengenai aset dunia nyata yang ditokenisasi (RWA), metaverse, dan NFT beserta parameter evaluasinya (provenance, kolektibilitas, utilitas, finansial, roadmap, dan komunitas). Pada sisi mitigasi risiko, materi memetakan bahaya utama di ekosistem kripto—mulai dari risiko CEX, token, DeFi, hingga interaksi sosial (phishing, social engineering, pig butchering, dan FOMO)—serta menawarkan kerangka due diligence 6D (Define, Document, Diversify, Detect, Defend, Discipline) sebagai panduan pengambilan keputusan yang lebih rasional. Kesimpulan utama materi ini menegaskan bahwa risiko utama dalam kripto bukan hanya terletak pada instrumennya, tetapi juga pada kualitas riset, pengendalian diri, dan kemampuan menjaga diri pengguna saat berinteraksi dengan ekosistem digital.
ABSTRACT AI‐driven personalization now structures search, recommendation, pricing, and service across the consumer journey, heightening a core dilemma: maximizing relevance and efficiency without compromising autonomy and trust. This article advances a capability‐based account of responsible personalization. I theorize that technology sense‐breaking (challenging legacy assumptions) and sense‐giving (constructing shared meanings) foster strategic flexibility, which, in turn, enables two outcomes: (a) product/process innovation performance and (b) consumer‐facing safeguards that calibrate trust—transparent AI disclosure, adjustable recommendation intensity, and human‐override/redress mechanisms. I further argue that transformational leadership amplifies the translation of sensemaking into flexibility, steering reconfiguration toward “engagement without coercion.” A firm‐level, multi‐respondent survey of Taiwan‐based organizations adopting AI/Web3 in marketing and service contexts is used to test a moderated‐mediation model with validated multi‐item measures and PLS‐SEM, alongside power checks, CMV diagnostics, and robustness analyses. By endogenizing UX governance within organizational capabilities and leadership, the study links internal reconfiguration to external consumer dignity, specifying when firms are most likely to implement autonomy‐preserving designs. The contribution is a precise, operational blueprint for aligning market performance with ethical experience through capability formation and trust calibration