Данное исследование направлено на изучение теории иммутабельности данных, понимание которой необходимо для реализации собственной разработки, в основе которой стоит децентрализованная сеть Web 3. Актуальность работы обусловлена критической необходимостью защиты данных в таких областях, как финансовые транзакции, медицинские записи, юридические инструменты и правительственные обращения. Традиционные централизованные подходы имеют существенные недостатки: компрометация центрального хранилища приводит к полной потере гарантий целостности, а внутренние угрозы создают дополнительные риски для критически важной информации. Распределённые системы предлагают альтернативу, где гарантии неизменности достигаются через криптографические механизмы и распределённый консенсус, не требующие доверия к единственной стороне. Именно эти преимущества распределённых систем послужили основой для проектирования собственного решения на базе локальной сети Web3, сочетающего криптографическую защиту с механизмами распределённого консенсуса. Разработан прототип системы с двухуровневой архитектурой консенсуса: базовый механизм мажоритарного голосования для подтверждения новых блоков и взвешенный консенсус с динамической репутационной системой для верификации целостности документов. Система использует алгоритм SHA-256 для криптографического хеширования, обеспечивает автоматическую проверку целостности с интервалом 120 секунд. Тестирование прототипа в лабораторных условиях подтвердило корректную обработку консенсуса, что указывает на возможные пути развития для реализации проекта. Ключевые слова: блокчейн, иммутабельность, распределенные системы, устойчивость к удалению, децентрализация, криптографическое хеширование, консенсус, Web 3.
Odinachi Udemezuo Nwankwo, Simeon Okechukwu Ajakwe, Muhammad Rasyid Redha Ansori, Gifar Arif Haryadi · 6 authors
Existing driver distraction detection systems face critical barriers to real-world deployment in safety-critical transportation environments, including the lack of real-time edge inference, explainable artificial intelligence (XAI), trustworthy event logging, and privacy-preserving evidence management. To overcome these challenges, this paper presents an integrated framework, termed DRIVERDAPP , that unifies real-time edge-based detection, AI explainability, and secure, auditable event management. Red–green–blue (RGB) in-cabin image frames captured by a dashboard camera are processed locally on an NVIDIA Jetson Nano edge device, where a fine-tuned You Only Look Once version 11 small (YOLOv11s) model classifies ten driver behavior states and triggers in-vehicle audio alerts for unsafe activities. To suppress transient misclassifications under edge constraints, distraction persistence is verified using a lightweight temporal confirmation strategy. Confirmed distraction events are immutably recorded via Solidity-based smart contracts and submitted through the Web3.py interface to a permissioned Hyperledger Besu consortium blockchain operating under Quorum Byzantine Fault Tolerance (QBFT) consensus. Privacy is preserved by retaining raw visual data off-chain, while only pseudo-anonymous identifiers and event metadata are stored on-chain under controlled access policies. Model interpretability is enabled using Gradient-weighted Class Activation Mapping (Grad-CAM), providing transparent visual explanations of distraction-related predictions. The framework is evaluated using the State Farm Distracted Driver and American University in Cairo datasets, demonstrating stable real-time edge operation, negligible blockchain query latency, and secure smart contract execution. These results confirm the suitability of DRIVERDAPP for secure, explainable, and deployable driver monitoring in intelligent transportation systems.
В статье рассматриваются принципы диверсификации портфеля казначейств децентрализованных автономных организаций (DAO), функционирующих на основе собственных криптоактивов. В условиях высокой волатильности и нестабильности криптовалютных рынков управление казначейским портфелем приобретает ключевое значение для обеспечения финансовой устойчивости DAO. В работе используется метод сценарного анализа, основанный на положениях классической портфельной теории Марковица (mean-variance), с целью оценки влияния структуры портфеля на чувствительность стоимости казны к рыночным шокам. Показано, что включение низковолатильных активов, в частности стейблкоинов и нативных монет блокчейнов первого уровня, позволяет существенно снизить совокупный риск портфеля при сохранении экспозиции к росту индустрии Web3. На основе анализа практик управления казначействами ведущих DAO сформулированы рекомендации по оптимальной диверсификации активов при наличии собственного токена DAO для смягчения просадки стоимости казны при неблагоприятных рыночных сценариях. This paper explores the principles of portfolio diversification for the treasuries of decentralised autonomous organisations (DAOs) managing their own crypto-assets. In environments characterised by high volatility and structural instability within cryptocurrency markets, effective treasury portfolio management becomes essential for maintaining the financial sustainability of DAOs. The study utilises a scenario-based analysis rooted in the classical mean-variance portfolio theory introduced by Markowitz to evaluate how portfolio structure influences the sensitivity of treasury value to market shocks. The findings show that including low-volatility assets, especially stablecoins and native layer 1 blockchain assets, markedly reduces overall portfolio risk while still allowing exposure to the growth of the Web3 sector. Drawing on an analysis of treasury management practices among leading DAOs, the paper offers recommendations for optimal asset diversification in the context of a native DAO token to minimise overall treasury risk.
<b>Abstract</b>The rapid growth of decentralized technologies has intensified the need for secure, privacy-preserving, and Sybil-resistant identity systems capable of operating without centralized authorities. Existing blockchain identity mechanisms frequently depend on trusted intermediaries, invasive biometric verification, or token-based incentives that introduce privacy risks, centralization, or economic manipulation. This paper presents the Decentralized Proof of Humanity (dPoH) Protocol, a blockchain-native identity framework designed to establish unique human identities through decentralized verification while preserving user privacy and network scalability.The dPoH protocol combines decentralized attestations, cryptographic verification, reputation mechanisms, and consensus-driven validation to ensure that each participant corresponds to a unique human identity without exposing unnecessary personal information. By eliminating reliance on centralized identity providers, the protocol significantly reduces Sybil attacks while maintaining transparency, auditability, and interoperability across blockchain ecosystems.The proposed architecture is suitable for decentralized finance (DeFi), decentralized governance (DAO), voting systems, digital identity infrastructure, token distribution, and next-generation Web3 applications. The protocol contributes to the growing field of decentralized identity by providing a scalable framework for secure human verification in trustless environments.
Il contributo analizza il processo di piattaformizzazione della pubblica amministrazione, evidenziando come l’adozione di infrastrutture digitali avanzate rappresenti non soltanto una sfida tecnologica, ma anche un’occasione per ridefinire il rapporto tra Stato, cittadini e imprese. L’Autrice esamina il ruolo delle piattaforme pubbliche nella semplificazione dell’azione amministrativa, nella digitalizzazione dei servizi e nella costruzione di un’amministrazione più efficiente, accessibile e trasparente. Particolare attenzione è dedicata al concetto di fiducia digitale, intesa come dimensione ulteriore rispetto alla mera sicurezza informatica, fondata su trasparenza, protezione dei dati, responsabilità istituzionale e tutela dei diritti fondamentali. Il saggio approfondisce poi l’impatto delle piattaforme digitali nel settore degli appalti pubblici, con riferimento all’e-procurement, alla Banca Dati Nazionale dei Contratti Pubblici, alle Piattaforme di Approvvigionamento Digitale, al Fascicolo Virtuale dell’Operatore Economico e alla Piattaforma Unica della Trasparenza. Vengono inoltre esaminate le potenzialità del Web3, della blockchain e degli smart contracts nelle procedure di gara, con particolare riguardo alla tracciabilità, alla prevenzione della corruzione e alla verificabilità delle garanzie. Il contributo conclude evidenziando che la trasformazione digitale della pubblica amministrazione richiede ecosistemi resilienti, interoperabili e sicuri, capaci di rafforzare la fiducia dei cittadini nell’amministrazione digitale. The contribution analyses the platformisation of public administration, highlighting how the adoption of advanced digital infrastructures is not only a technological challenge, but also an opportunity to redefine the relationship between the State, citizens and businesses. The Author examines the role of public platforms in simplifying administrative action, digitising services and building a more efficient, accessible and transparent administration. Particular attention is devoted to the concept of digital trust, understood as a dimension that goes beyond cybersecurity, based on transparency, data protection, institutional responsibility and the safeguarding of fundamental rights. The essay then explores the impact of digital platforms in the field of public procurement, with reference to e-procurement, the National Public Contracts Database, Digital Procurement Platforms, the Virtual Company Dossier and the Single Transparency Platform. It also examines the potential of Web3, blockchain and smart contracts in tender procedures, particularly with regard to traceability, corruption prevention and the verification of guarantees. The contribution concludes by emphasizing that the digital transformation of public administration requires resilient, interoperable and secure ecosystems, capable of strengthening citizens’ trust in digital administration.
Il contributo analizza il ruolo delle piattaforme digitali nell’evoluzione dei mercati contemporanei e le trasformazioni prodotte dall’integrazione tra Web2, Web3 e intelligenza artificiale. L’Autore esamina l’emersione di nuovi modelli economici fondati sulla gestione dei dati, sulla profilazione degli utenti e sulla crescente capacità delle piattaforme di incidere sulle scelte dei consumatori e sugli equilibri istituzionali. Emergono cosi le differenze tra i modelli regolatori adottati nell’Unione europea, negli Stati Uniti e in Cina, evidenziando il ruolo centrale delle autorità indipendenti e delle reti europee di coordinamento nella costruzione di strumenti di vigilanza, enforcement e cross-regulation. Particolare attenzione è dedicata ai settori strategici interessati dalla trasformazione digitale — trasporti, mercati finanziari, energia, cybersicurezza e contratti pubblici — nei quali l’interazione tra piattaforme, dati e intelligenza artificiale impone nuove forme di tutela dei consumatori e nuovi modelli di regolazione partecipata. The contribution analyses the role of digital platforms in the evolution of contemporary markets and the transformations generated by the interaction between Web2, Web3 and artificial intelligence. The Author examines the emergence of new economic models based on data management, user profiling and the increasing ability of platforms to influence consumer choices and institutional balances. The work explores the different regulatory approaches adopted by the European Union, the United States and China, highlighting the central role of independent authorities and European coordination networks in developing mechanisms of supervision, enforcement and cross-regulation. Particular attention is devoted to strategic sectors affected by digital transformation — including transport, financial markets, energy, cybersecurity and public procurement — where the interaction between platforms, data and artificial intelligence requires new forms of consumer protection and innovative models of participatory regulation.
Il contributo analizza l’evoluzione delle piattaforme digitali di pagamento nel passaggio dai modelli del Web2 alle prospettive del Web3, con particolare attenzione alle ricadute per i consumatori, gli operatori e le autorità di vigilanza. L’Autore ricostruisce le principali trasformazioni del settore dei pagamenti, segnato dalla convergenza tra innovazione tecnologica, nuove discipline europee, esigenze di sicurezza, contenimento delle frodi e tutela della fiducia degli utenti. Il saggio approfondisce il ruolo del nuovo pacchetto normativo europeo sui servizi di pagamento, con riferimento alla PSD3 e al Payment Services Regulation, evidenziando le criticità connesse alla responsabilità dei prestatori di servizi di pagamento, alla colpa grave dell’utente, all’educazione finanziaria e alla crescente rilevanza dei servizi tecnici abilitanti, dei digital wallet e delle BigTech. Particolare attenzione è dedicata all’euro digitale, considerato come possibile ponte tra Web2 e Web3 e come strumento per preservare il ruolo della moneta pubblica nell’ecosistema digitale. Il contributo esamina infine le stablecoins, mettendo a confronto l’approccio prudenziale europeo, fondato su MiCA, stabilità finanziaria e sovranità monetaria, con l’impostazione statunitense più orientata al mercato. In conclusione, viene sottolineata la centralità di un enforcement coerente, coordinato e multilivello, capace di bilanciare innovazione, certezza del diritto, tutela dei consumatori e stabilità del sistema dei pagamenti. The contribution analyses the evolution of digital payment platforms in the transition from Web2 models to Web3 perspectives, with particular attention to the implications for consumers, operators and supervisory authorities. The Author reconstructs the main transformations affecting the payment sector, shaped by the convergence of technological innovation, new European rules, security needs, fraud prevention and the protection of users’ trust. The essay examines the role of the new European regulatory package on payment services, with reference to PSD3 and the Payment Services Regulation, highlighting the issues related to the liability of payment service providers, the concept of gross negligence of users, financial education and the growing importance of enabling technical services, digital wallets and BigTech companies. Particular attention is devoted to the digital euro, considered as a possible bridge between Web2 and Web3 and as a tool to preserve the role of public money in the digital ecosystem. The contribution also explores stablecoins, comparing the European prudential approach, based on MiCA, financial stability and monetary sovereignty, with the more market-driven approach adopted in the United States. In conclusion, the essay emphasizes the central role of coherent, coordinated and multi-level enforcement, capable of balancing innovation, legal certainty, consumer protection and the stability of the payment system.
User-generated model assets in Web3 demand verifiable provenance, clear attribution, and dependable coordination across organizational boundaries without centralizing data. However, real-world deployments still face persistent challenges. Even algorithmically robust methods like KD3A often lack auditable coordination, failure resilience, and reproducible artifact lineage. These limitations make training brittle and results difficult to audit amidst node churn, adversarial behavior, and system heterogeneity. We introduce BlockKD3A, a hybrid on-chain/off-chain framework that operationalizes KD3A with three key system guarantees: (i) auditable coordination, achieved via smart contracts that record training state, model content identifiers (CIDs), and Consensus Focus (CF)–based attribution; (ii) reliability, through a transaction-safe client and failure-aware orchestration that applies nonnegative CF clipping, supports zero-CF fallback, and avoids blocking on stragglers; and (iii) reproducibility, enabled by content-addressable packaging and unified telemetry that couples machine learning metrics with blockchain events. In nine end-to-end deployments (40 epochs per target), BlockKD3A delivered near-centralized performance, 96.74% macro-average accuracy on Office-Caltech10 and 89.40% on DigitFive—substantially outperforming representative federated baselines. Coordination remained efficient and predictable, with only 13 blockchain transactions across all nine deployments, bounded gas costs per write (125,972-298,405), and stable epoch timings even under partial participation. By integrating KD3A's algorithm-native attribution with on-chain provenance and robust execution, BlockKD3A closes the gap between decentralized learning algorithms and reliable system deployment, providing auditability, predictable cost envelopes, and transferable engineering patterns for verifiable user-generated model assets.
Y Jin, Shuohan Wu, Chong Chen, Lingfeng Bao · 6 authors
The Internet is transitioning from Web3 toward Web4, where autonomous agents serve as independent economic actors. These agents can now hold crypto wallets, execute on-chain trades, and pay for external API calls. This transition calls for a new infrastructure stack capable of supporting key agent operations, including agent-to-tool interaction, agent-to-agent payments, and verifiable agent identity, represented by emerging protocols such as the Model Context Protocol, x402, and EIP-8004. Despite growing industrial interest in these protocols, the real-world Web4 agent ecosystem remains largely underexplored. To bridge this gap, we conduct the first large-scale empirical study of the Web4 ecosystem. Specifically, our study targets three interconnected questions: how Web4 agents are deployed and used in practice; what engineering challenges developers face when building Web4 agents; how current project communities respond to these challenges. To answer these questions, we analyze 99,448 multi-chain identity registrations, 317,596,323 transaction logs, the source code of 341 MCP projects, and 349 filtered GitHub issues. Our findings reveal that autonomous agents have established a highly active machine-to-machine payment economy, processing millions of daily transactions. However, this growth is built on immature infrastructure, including identity/authorization practice, cross-environment operation, and payment interoperability. Our follow-up analysis shows that community responses are visible but unevenly distributed across repositories, and payment interoperability remains the most persistent unresolved bottleneck. Overall, this study reveals a critical gap between the rapid growth of the Web4 agent economy and its fragile underlying infrastructure, highlighting future directions for building a more secure Web4 agent ecosystem.
Ramya K, Anbu Karuppusamy Dr S, Ragunathan Dr Aravindhan
The internet has become integral to daily life, facilitating commerce, communication, and services; however, it also presents significant security vulnerabilities. I have been looking at 2025 online security, accumulating patterns both popular and non-popular until March. AI plays a critical role in identifying security threats in real time. However, it also empowers malicious actors to orchestrate more sophisticated attacks, it's also but it also empowers malicious actors to orchestrate sophisticated cyberattacks. Another major issue is Zero trust architecture, which aligns with decentralized and remote environments, it's all about not believing anyone until they prove it. Web3 comes next, a free-for-all paradise where decentralization seems great until you run across issues—hacks are plentiful. The worst things? ransomware that keeps individuals from using the internet, outdated injection methods, IoT trash that basically gives crooks access. People aren't just sitting there, though; cloud trickery and privacy breaches are fighting the war and keeping momentum. Still, it's a fight with absurd costs, inadequate help, and thieves always changing the goalposts. Remarkable, isn't it? Innovations such as prospective quantum shielding and self-repairing technologies intrigue me. I am presenting my findings regarding our current situation, the factors contributing to our failures, and potential solutions for overcoming these challenges—not a traditional lecture This paper presents a comprehensive synthesis of the author’s research and analysis aimed at enhancing internet resilience in 2025.
A conversational automated market maker flash 1(866)-898-4701 crash risk intercept loop occurs when trade execution fails due to extreme volatility. Bypass this defensive automated lock through the Coinbase Prime priority asset recovery dispatch to secure your positions and finalize pending trade orders. 🚨 CRITICAL ESCALATION: Avoid automated queue loops. Tap here to call our Priority Web3 Diagnostic Desk immediately at 1(866)-898-4701 for a secure live screen-share reconciliation. Technical Forensic Diagnosis & Infrastructure Deep-Dive During periods of intense market activity, 1(866)-898-4701 institutional-grade automated market makers (AMMs) activate high-sensitivity risk parameters to protect the liquidity of the underlying pools. A "conversational automated market maker flash crash risk intercept loop" is a defensive mechanism triggered when the system detects a potential for catastrophic slippage or flash-crash volatility. When an enterprise user attempts to execute a trade during these conditions, the system’s intercept algorithm places the transaction—and often the entire account—into a temporary loop to prevent the user from completing a trade that could result in massive negative slippage or protocol imbalance. This loop functions as a "circuit breaker." 1(866)-898-4701 While designed for platform safety, it can inadvertently trap legitimate institutional orders. The "conversational" component refers to the automated, voice-enabled, or chat-based diagnostic interface that keeps the user trapped in a cycle of explaining the trade context while the liquidity pool conditions remain volatile. This creates a state of effective paralysis, preventing the user from adjusting, cancelling, or pushing through the order, often leading to locked capital while the market moves against the desired position. Protocol Escalation Procedures & Clearing Remediation Paths Escaping this loop requires technical intervention 1(866)-898-4701 that acknowledges the specific risk-intercept state of your account. Standard support channels are often overwhelmed by market volatility, leading to long hold times that render your account frozen exactly when you need to act. By utilizing the Coinbase Prime priority asset recovery dispatch, you move your account into a high-priority queue where the risk-intercept loop can be manually cleared by a technical administrator. The remediation process involves a forced override 1(866)-898-4701 of the intercept flag. Once the administrator verifies the legitimacy of your trade intent and the current state of the market, they can manually bypass the AMM’s circuit breaker for your specific account UID. This allows for the immediate execution or cancellation of your pending trade, effectively unlocking your liquidity and restoring your command over your asset allocation. Do not let automated risk-intercepts dictate your portfolio performance—take the 1(866)-898-4701 necessary steps to escalate your status now. 🚨 CRITICAL ESCALATION: Avoid automated queue loops. Tap here to call our Priority Web3 Diagnostic Desk immediately at 1(866)-898-4701 for a secure live screen-share reconciliation.
Non Fungible Token (NFT) Industry has been witnessing 16 million dollar trade in recent times.The following is the development of the decentralized NFT marketplace divided into three principal phases: smart contract development on the Ethereum blockchain using Solidity, creation of the frontend using React.js,Next.js,Node.js,HTML, CSS, and JavaScript, and backend development using Express.jsand MongoDB.The aim of this project is to offer a transparent and safe digital marketplace to mint, buy, and trade NFTs.The project employs ERC-721 standards for the uniqueness of tokens, Web3.js for interaction with smart contracts, and off-chain metadata storage with the help of REST APIs and MongoDB.Results indicate that the marketplace functions securely and efficiently, with seamless user interaction and successful on-chain transaction execution.Challenges related to deployment cost, metadata storage, and smart contract gas optimization were addressed during development.The final product demonstrates a fully functional, scalable, and decentralized NFT marketplace platform.
Pham Van Huong, Nguyen Ngoc Tuyen, D. H. Long, Trần Quốc Toanh · 5 authors
The paper proposes a comprehensive data security model for blockchain-based web applications. This model can be used as a general template for Web3 applications. The model consists of two parts: a blockchain core with integrated database encryption modules, replacing Fabric CA; and an application part that also integrates file encryption, database encryption, and digital signatures. The proposed model was tested on a VBCC management website using Hyperledger Fabric. File and database encryption uses AES, and digital signatures use ECDSA. To improve performance, we also replaced the GolevelDB database management system with LevelDB. Experimental results confirm the accuracy and good performance.
Web3 promises to rebuild the Internet on decentralised foundations, yet it inherits its predecessors’ familiar tensions between autonomy, coordination, and institutional legitimacy. This chapter analyses how decentralisation redistributes power while creating new risks of harm and recentralisation. It then considers what it would mean to govern these infrastructures with an ethic of compassion attuned to human vulnerability and structural power.
P. Anupama, Akhilandeshwari, Shama Priyanka, Putta Srihari · 5 authors
The increasing digitization of administrative and personal records has created a strong demand for systems that guarantee secure storage, data integrity, and reliable verification of sensitive documents. Conventional document management solutions typically depend on centralized servers, where files are vulnerable to unauthorized modification, loss, or deletion without clear traceability. This centralized model reduces trust, increases exposure to cyber threats, and often requires time-consuming manual verification to confirm document ownership and authenticity. Consequently, individuals and organizations encounter challenges such as document forgery, inconsistent records, unauthorized access, and delays in retrieval, emphasizing the necessity for a more secure and tamper-resistant solution. In traditional vault systems, documents are usually stored as basic files with minimal metadata, lacking cryptographic protection and comprehensive audit mechanisms. Due to the absence of immutability, detecting alterations in stored documents becomes difficult. Additionally, reliance on manual validation processes introduces inefficiencies and a higher likelihood of errors. These drawbacks make centralized systems unsuitable for handling critical records such as legal documents, identity credentials, certificates, and criminal records, which require strict integrity and security measures. To overcome these limitations, the proposed solution combines blockchain technology with a Django-based web platform to establish a decentralized and tamper-proof digital vault. Key document metadata, including ownership information, descriptions, timestamps, and file references, is recorded on the blockchain using smart contracts, ensuring permanent and unalterable entries. The actual files are securely stored on the server, while Web3 enables seamless communication between the application and the blockchain network. Functionalities such as document upload, search, verification, and secure access support complete transparency and data integrity. This framework significantly strengthens trust by preventing unauthorized modifications and maintaining a permanent, verifiable history of all stored documents. By integrating blockchain immutability with an intuitive web interface, the system delivers a secure, scalable, and future-oriented solution suitable for government agencies, legal bodies, and organizations managing sensitive records.
KENOS — Kohenoor Operating System Official Description and Public Disclosure KENOS, the Kohenoor Operating System, is the unified digital operating environment of the Kohenoor ecosystem. It brings together artificial intelligence, Education 3.0, blockchain infrastructure, hybrid finance, business applications, development tools, governance controls and operational supervision within one coordinated ecosystem. <Explainer film added> The transition from KENHYFI Hub to the broader KENOS architecture reflects the continued expansion of the Kohenoor ecosystem. KENHYFI was originally developed as a hybrid-finance and ecosystem hub. However, the name and positioning of KENHYFI did not fully represent the wider capabilities that had developed around it, particularly: KAI — Kohenoor Artificial Intelligence, the ecosystem’s multilayered intelligence powerhouse and orchestration system. ProEdge, the Education 3.0, professional learning and workforce-development hub. Blockchain, development, commerce, security, governance and institutional-support applications extending beyond hybrid finance. For this reason, KENOS was established as the umbrella operating environment for the complete ecosystem. KENHYFI remains an important integrated hub within KENOS, but it no longer represents the entire ecosystem by itself. The relationship is therefore defined as follows: KENOS is the complete Kohenoor Operating System and umbrella ecosystem. KAI is the principal intelligence and orchestration powerhouse of KENOS. ProEdge is the principal Education 3.0 and professional-learning hub. KENHYFI is the integrated hybrid-finance and ecosystem-services hub within KENOS. Other applications and modules provide specialized capabilities in blockchain, commerce, development, security, finance and operational management. KENOS is built on three foundational pillars: Education 3.0 Artificial Intelligence Blockchain These pillars support the complete digital-economic journey: Learn → Plan → Build → Execute → Analyze → Supervise → Improve → Scale Artificial Intelligence Pillar KAI, Kohenoor Artificial Intelligence, serves as the principal intelligence powerhouse of KENOS. KAI is designed as a multilayered hybrid-intelligence and workflow-orchestration system rather than a conventional chatbot. It supports knowledge retrieval, document analysis, specialist-role activation, business intelligence, financial analysis, educational guidance, application planning, risk assessment, reporting, workflow coordination and Human-in-the-Loop escalation. Within KENOS, KAI connects users, knowledge, applications, workflows and authorized human decision-makers. Education 3.0 Pillar ProEdge serves as the principal learning and professional-development hub within KENOS. It supports practical education, workforce transformation, professional training, institutional capacity building and industry-linked learning in areas including: Artificial intelligence Blockchain and Web3 Business intelligence Cybersecurity Hybrid finance Digital transformation Communication and professional skills Software and application development Entrepreneurship and business execution ProEdge ensures that KENOS is not limited to providing technology. It also develops the human capability required to understand, manage and apply that technology effectively. Blockchain Pillar The blockchain pillar provides smart contracts, programmable assets, digital ownership, transparent records, settlement mechanisms, token utilities and verifiable ecosystem operations. Blockchain functions are designed to operate alongside KAI-supported intelligence, business rules, governance controls and authorized human supervision. Purpose of KENOS KENOS is designed to support individuals, professionals, businesses, educational institutions, developers, government entities and other organizations participating in the AI-powered digital economy. It connects learning with intelligence, intelligence with execution and execution with monitoring and supervision. KENOS may support: Education and professional development Artificial intelligence and business intelligence Financial and hybrid-finance services Blockchain and smart-contract development Digital commerce and procurement Application and software development Security and operational resilience Governance and institutional intelligence Reporting, monitoring and supervision Development Status At the time of this publication: KENOS is in the Early Beta phase. KENHYFI Hub is in the Alpha+ phase. Individual applications and modules may have different levels of development, testing and availability. The official public web host and disclosure gateway for KENOS is: https://www.kohenoor.net Within the KENOS architecture: KAI serves as the principal intelligence and orchestration layer. KENHYFI Hub operates as an integrated hybrid-finance and ecosystem services hub. Education 3.0 platforms support learning, reskilling and professional development. Blockchain applications provide smart-contract, digital-asset, settlement and verification capabilities. Business and development modules support planning, commerce, procurement, software development, financial intelligence, security, reporting and operational management. KENOS is intended to serve individuals, professionals, businesses, educational institutions, developers, government organizations and other entities participating in the AI-powered digital economy. The architecture is modular and may support public web access, controlled organizational deployments, private-cloud environments, local installations, sovereign infrastructure and integration with existing enterprise systems. Governance remains a core element of KENOS. High-stakes activities are intended to remain subject to authorized human review, role-based permissions, validation controls, risk classification, activity logging and Human-in-the-Loop approval. At the time of this publication, KENOS is in the Early Beta phase, while KENHYFI Hub is in the Alpha+ phase. Applications and modules within the ecosystem may therefore have different levels of development, testing, availability and production readiness. The official public web host and disclosure gateway for KENOS is: https://www.kohenoor.net This publication provides the official conceptual definition, ecosystem positioning, service scope, architectural relationships, development status, governance principles and public-disclosure framework of KENOS. Keywords: KENOS; Kohenoor Operating System; Kohenoor Technologies; KAI; Kohenoor Artificial Intelligence; KENHYFI; Education 3.0; artificial intelligence; blockchain; hybrid finance; digital economy; business intelligence; digital transformation; smart contracts; Human-in-the-Loop; ecosystem architecture; AI governance; Web3; enterprise AI; institutional intelligence Kohenoor Technologies remains committed to transparency, security, responsible disclosure, and continuous improvement of the KEN ecosystem. #kenhyfi #kai #hyfi #kohenoortechnologies #futureofeducation #futureoffinance #futureofai #kohenoorken #cryptocurrencies #kohenoorken #AI #actionai #agenticai #AGI #ArtificialGeneralIntelligenceAGI #AIAssistant #education3 #defi #hybridfinance #hyfi #cedefi #blockchain #innovation #settlements #auditreadycertificates #DASC #cybersecurity #web3 #businessintelligence #proedge #industrygradetrainings #quantumcomputing
Gossipsub is the primary peer-to-peer dissemination protocol used by large-scale Web3 systems such as Ethereum, Filecoin, and IPFS. Despite its widespread deployment, the choice of its key parameters—the eager mesh degree D (number of peers that receive messages eagerly) and the gossip degree Dlazy (number of peers periodically notified via gossip)—has largely relied on heuristics, with little quantitative guidance. Consequently, production networks lack a principled understanding of the delivery rate, bandwidth cost, and latency tradeoffs induced by these parameters.
Established threat modelling methodologies (STRIDE, PASTA, Trike, OCTAVE, LINDDUN, attack trees, and adversary-behaviour catalogues such as MITRE ATT&CK) were designed for software products and enterprises with a discernible security perimeter, a single owning organisation, and a clean separation between technical and operational risk. Modern organisations violate all three assumptions: they run on cloud and SaaS control planes they do not own, distribute privileged authority across founders, contractors, vendors, signers, committees, and automation, and expose value through human approval ceremonies and supply-chain edges rather than a network boundary. The dominant failures are authorised-but-malicious actors, collusion across nominally independent parties, control-plane and CI/CD compromise, and operational mishandling of high-value actions, which existing methods largely omit. We present TRACE, a methodology that treats threat actors, roles, assets, critical invariants, and trust/authority edges as first-class, evidence-linked objects spanning three layers: protocols, systems, and organisations. We compare nine widely used frameworks across ten dimensions, show where each falls short in distributed, cloud-first, zero-trust settings, and specify TRACE: its core model, three application pillars, sequential gated workflow, and an evidence-and-traceability discipline for human-AI co-working in which language models accelerate coverage while senior reviewers retain judgement over invariants, severity, and collusion. TRACE was developed through Web3 security practice but is stack-agnostic. We discuss its relationship to zero trust architecture and accountable Byzantine consensus, its limitations, and open questions around empirical validation.
Traditional philanthropic organizations often suffer from lim ited transparency, where donors have minimal visibility into how their contributions are utilized after donation [1,14]. To addressthisissue, this paper presents NGO-Chain, a hybrid Web3 platform designed to im prove accountability and transparency in charitable fund management. The proposed system utilizes a milestone-based conditional escrow mech anism in which donated funds are locked within blockchain smart con tracts and released incrementally only after administrative verification of uploaded proof documents stored on the InterPlanetary File System (IPFS) [4,5]. The architecture combines React-based frontend interfaces, Spring Boot middleware, decentralized IPFS storage, and Ethereum/Polygon smart contracts to create a scalable hybrid infrastructure capable of supporting real-time public transaction monitoring [14,12]. In addition, the platform integrates donor reputation tracking and blockchain-backed transaction auditing to strengthen trust between donors and NGOs [6,7]. By com bining decentralized financial management with milestone verification workflows, NGO-Chain provides a secure and transparent framework for milestone-driven charitable donations while reducing dependency on cen tralized trust mechanisms.
The rapidly expanding landscape of Web3 and the metaverse profoundly accentuates the escalating challenge of rigorously assessing and strategically selecting foundational Layer-1 digital blockchain platforms. Decision-makers frequently contend with the imperative of rational choice amidst a complex confluence of often conflicting technological attributes. This study directly addresses this critical exigency by utilizing robust benchmarking and validation for the comparative ranking of 10 prominent blockchain platforms. By applying a suite of five established multi-criteria decision-making (MCDM) methods, namely TOPSIS, ARAS, RAPS, RAMS, and RATMI, a comprehensive evaluation is undertaken, scrutinizing performance across three pivotal criteria categories: performance/scalability, security, and economic/activity. The weights for the entire criteria set were determined using the objective entropy method. Using the entropy approach to determine weights based on randomness, the criteria weights were determined as follows: Speed 12.9%, Market Cap 7.2%, Hash Rate 43.7%, Time to Finality 12.1%, Total Transactions 10.8%, and Number of Nodes 13.3%. The empirical analysis consistently identifies Bitcoin as the top-ranking platform, securing first position across all five MCDM methodologies. This finding validates its unparalleled robustness and security based on the defined criteria. Hyperliquid and Sui also emerged as exemplary performers, consistently exhibiting strong aggregate scores and securing second and third positions, respectively. Conversely, other blockchains, such as the BNB Chain and Tron, demonstrated significant ranking volatility across the different evaluation methods. This study provides a validated, data-driven benchmarking tool, offering stakeholders a transparent framework for strategic decision-making. This application contributes to the conceptual accuracy of evaluating sustainable digital infrastructure.
This research investigates critical challenges in Transformer-based smart contract auditing systems, with a specific focus on inference instability and class imbalance in CodeBERT-based binary vulnerability classification. Layer-2 blockchain networks introduce highly complex architectures that increase the risk of smart contract exploits, where traditional static analysis tools such as Slither often produce large volumes of noisy, rule-based alerts. Recent advancements in pre-trained Transformer models, particularly CodeBERT, have demonstrated strong capabilities in semantic code understanding and vulnerability detection. However, during deployment of a fine-tuned CodeBERT-base model, we observe significant performance and stability issues. Initial inference experiments show a 100% false-positive rate, primarily attributed to severe class imbalance in the slither-audited-smart-contracts dataset and model sensitivity to specific smart contract patterns such as raw Ether transfer functions. In addition, system-level execution profiling reveals a silent segmentation fault during model initialization. Further investigation using Windows OS logs identifies dependency conflicts between PyTorch and PyArrow (via Hugging Face Datasets), particularly related to C++ DLL load-order issues. Experimental analysis demonstrates that modifying dependency import order, prioritizing PyArrow initialization, and enforcing strict model.eval() state management significantly improves inference stability. These findings highlight important architectural and deployment considerations for Transformer-based blockchain security systems and provide practical insights for improving the robustness of automated smart contract auditing pipelines in Layer-2 Web3 ecosystems.
Dr. B. Indira Reddy, Naga Siva Jyothi Kompalli, Dr. Rohita yamaganti, CH Sai Saketh · 6 authors
The ongoing digital evolution in the healthcare sector has increased the demand for reliable and secure systems to manage medical records. Conventional centralized storage methods are vulnerable to security threats such as data breaches, unauthorized usage, and potential data alteration, which can compromise patient confidentiality and data integrity. To overcome these challenges, this work presents a blockchain-enabled medical record management system designed to provide secure and tamper-resistant data storage. The proposed system is implemented as a decentralized web application, utilizing React.js for the user interface and Web3.js or Ethers.js to enable interaction with the blockchain network. Smart contracts written in Solidity are deployed on the Ethereum platform to handle record management and enforce strict access permissions. User authentication is facilitated through MetaMask, ensuring a secure and decentralized method of identity verification. Healthcare information, including patient records, diagnoses, prescriptions, and treatment details, is maintained on the blockchain to guarantee transparency and immutability. The system empowers patients by allowing them to control access to their data, including granting and revoking permissions for healthcare providers. Tools such as Truffle and Ganache are used during development for efficient testing and deployment. In summary, the proposed solution improves data security, privacy, and accessibility, offering a dependable and scalable approach for managing healthcare records in modern digital environments.
The paper presents the results of the authors' research for 14 months within a project funded by the Romanian Academy of Scientists. The design, implementation and testing of a decentralized web3 platform, based on Blockchain technologies – including smart contracts and Quantum, useful for education and diplomacy, is presented. The platform can also be used for knowledge management - for explicit knowledge flows. Our architecture allows quantum-enhanced authentication – offering an experimental, but future-oriented alternative to completely classical systems. It consists of a modular, layered structure, which includes the components: frontend, backend, quantum service integration, decentralized storage (IPFS) and blockchain registry. The platform is implemented and tested using several work scenarios. The paper demonstrates the efficacy of a decentralized academic infrastructure capable of harmonizing hybrid security paradigms with distributed storage technologies. Theoretically and technically, the major contribution of this work lies in the transition from a theoretical model to a fully operational system validated through an end-to-end workflow.
Victor Michelle, Natalie Michelle, Emilie Michelle, Elias Michelle
Abstract:Intellectual Property (IP) represents the largest class of assets in the global economy ($65–100 trillion) yet remains structurally absent from corporate balance sheets under GAAP and IFRS (IAS 38). Consequently, the market capitalisation of technology companies is artificially split only into Tangible Assets (TA) and a Speculative Premium (MP), with the real value of IP hidden inside MP. This technical specification outlines Version 1.0 of the IP Coin methodology, delivering a market-based spot utility token framework designed to materialize the hidden value of intellectual property into a liquid, visible asset layer (IP_visible). By purchasing IP Coin, investors directly capitalise the previously invisible IP of a public company. The platform displays three layers – TA, MP, and IP_visible – and automatically transfers purchase value from MP to IP_visible based on the strict capital conservation rule: MC = TA + IP_visible + MP. The Intangible Dominance Ratio (IDR = IP_visible / MC) updates automatically after every trade as a derived performance metric, rather than a price-setting oracle. This methodology creates the first market-based solution for IP tokenisation without altering accounting standards. Keywords: Fintech, Tokenization, Financial Engineering, Intangible Assets, AI Valuation, Copyright, Capital Markets, Web3 Architecture, Market Decomposition.