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.
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.
Michael Kah Ong Goh, Yu-Xian Cheng, Check-Yee Law, Connie Tee · 6 authors
Traditional ticketing systems often suffer from major drawbacks such as ticket fraud, duplication, inflated resale prices, lack of transparency, and centralized control over transactions. These issues result in reduced trust and limited flexibility for both event organizers and ticket buyers, especially in unregulated secondary markets. To address these gaps, this paper presents the design and development of a Decentralized Ticketing System (DTS) using Web3 technologies. The system leverages Ethereum blockchain, smart contracts written in Solidity, and NFT-based ticket issuance to ensure security, transparency, and verifiable ownership. Features include wallet-based login via MetaMask, multi-ticket purchasing, QR-based validation, controlled resale pricing, and seller revenue withdrawal. Smart contract reliability is enhanced using OpenZeppelin libraries and tested with Mocha and Chai. By decentralizing control and automating ticket processes, the proposed DTS enhances current practices by offering a more secure, tamper-proof, and user-centric ticketing alternative that mitigates fraud and enables transparent peer-to-peer interactions. The architecture of this system integrates a decentralized storage and interaction layer that connects the blockchain smart contracts with a web-based user interface which allow organizers to create events and sell tickets while buyers can securely browse, purchase, and manage their digital assets. The system also demonstrates how blockchain-based ticketing can improve traceability, reduce intermediaries, and support fairer event ecosystems for stakeholders across industry.
This paper presents an empirical analysis of the Web3 security landscape over the four-year and three-month period from 1 January 2022 to 27 March 2026. The dataset combines 23,818 public audit findings produced by 22 independent security firms with 218 real-world exploit incidents documented by rekt.news, representing aggregate losses of approximately US$7.76 billion. We report three central findings. First, the distribution of audit findings (by severity, category, and technology stack) is substantially stable across the observation window, with the Critical-plus-High share remaining within a 15-17% band in every complete year. Second, the categorical distribution of realised exploit losses does not correspond to the categorical distribution of audit findings: private-key compromise, phishing, and social-engineering vectors account for approximately 49.6% of cumulative losses yet represent a negligible share of published audit findings. Third, realised losses exhibit extreme concentration: the eight largest incidents account for 50.6% of cumulative dollar losses and the twenty largest for 71.4%, a distributional shape inconsistent with Gaussian assumptions. Throughout, we adopt the analytical convention that audit outputs and exploit outputs describe different populations and present the two datasets in parallel rather than as directly comparable samples.
This paper presents a blockchain-based electronic voting system designed to address the persistent challenges of transparency, security, and integrity in democratic electoral processes. Traditional voting systems in countries like Nepal suffer from vote manipulation, ballot rigging, logistical inefficiencies, and limited public trust. To overcome these limitations, this work proposes a decentralized e-voting application built on the Ethereum blockchain, leveraging smart contracts for tamper-proof vote recording and enforcement of voting rules. The system incorporates multi-factor authentication, combining facial recognition via OpenCV with Voter ID and Date of Birth verification to ensure only eligible voters participate. MetaMask wallet integration enables secure blockchain transactions, while Web3.js facilitates real-time interaction between the frontend and the deployed smart contracts on Ganache. The methodology encompasses data collection, voter authentication, smart contract deployment, and result retrieval. This paper offers a scalable and cost-effective alternative to conventional voting methods, with future scope for public Ethereum deployment and expanded biometric authentication.
يتناول هذا البحث مسألة حماية الهوية الثقافية للأسرة في ظل التحولات التي أفرزتها البيئة الرقمية اللامركزية في عصر الشابكة اللامركزية (Web3). ولم يعد أثر التطور الرقمي مقتصراً على الجوانب التقنية البحتة، بل امتد إلى المجالات القيمية والتربوية التي تمارس الأسرة من خلالها وظيفتها في التنشئة الاجتماعية، ونقل الموروثات، وترسيخ المرجعيات الثقافية بين الأجيال. ويهدف البحث إلى بيان طبيعة الأثر الذي تمارسه هذه البيئة الرقمية في إعادة تشكيل المجال الثقافي داخل الأسرة، مع تحليل الإشكالات القانونية التي يثيرها هذا التحول، ولا سيما ما يتصل بمدى كفاية التشريعات التقليدية لمواكبة هذه التغيرات. وتعتمد الدراسة على المنهج الوصفي التحليلي، مع الاستفادة من لمحات مقارنة محدودة، لتقويم فعالية الأطر القانونية القائمة. وقد خلصت إلى أن الأدوات القانونية التقليدية لم تعد كافية، بمفردها، لضمان حماية الهوية الثقافية للأسرة، وأن المرحلة الراهنة تقتضي مقاربة قانونية متوازنة تقوم على الوقاية المسبقة، وتقييم المخاطر، والتصميم الآمن للمنصات الرقمية، مع توزيع واضح للمسؤوليات بين مختلف الفاعلين في الفضاء الرقمي، ومراعاة المصلحة الفضلى للطفل، وتحقيق التوازن بين الانفتاح الرقمي، والحفاظ على البعد الثقافي للأسرة، بما يعزز قدرتها على صون قيمها، وتماسكها في وجه التحولات المتسارعة. This study examines the protection of the family’s cultural identity in light of the transformations produced by the decentralized digital environment in the era of Web3. Digital influence is no longer confined to purely technical aspects; rather, it now extends to the value-based and educational spheres through which the family carries out its role in socialization, transmitting heritage, and consolidating cultural references across generations. The study aims to clarify the nature of this environment’s impact on reshaping the family’s cultural sphere while analyzing the legal challenges arising from this transformation, particularly those related to the adequacy of traditional legal frameworks. It adopts a descriptive-analytical approach, supported by limited comparative insights, to assess the effectiveness of existing legal frameworks. The study concludes that traditional legal tools are no longer sufficient on their own to effectively protect the family’s cultural identity. Instead, the current stage requires a balanced legal approach grounded in prevention, risk assessment, secure-by-design principles, clear allocation of responsibilities among digital actors, consideration of the child’s best interests, and preservation of the family’s cultural dimension.
Federated Learning(FL) is predominantly deployed in enterprise environments, where limited transparency and restricted auditability hinder broader adoption. Existing FL systems often suffer from opaque aggregation processes, making it unclear which model updates are accepted or discarded. Current mitigation strategies typically rely on external validators introducing additional computational and communication overhead. In this paper, we propose a novel FL framework that leverages existing Web3 technologies to enhance transparency, trust and auditability throughout the training process. The framework adopts a hierarchical architecture in which delegated managers orchestrate the FL training process within their respective federations. To mitigate adversarial and poisoning attacks, a combination of novelty detection and consensus mechanisms were employed. Model updates are encoded and broad casted to all managers, who independently evaluate their validity and those model updates that are approved by the consensus are incorporated into the global model. Additionally, a reputation score based backup mechanism is employed to ensure model generation. Extensive experiments conducted under real world scenarios demonstrate the effectiveness, resilience of the proposed framework, highlighting its potential to enable transparent FL beyond traditional enterprise setting.
Abstract. The accelerating development of Artificial General Intelligence (AGI) raises a fundamental question that Stuart Russell articulated with precision: how do we ensure that increasingly powerful AI systems remain aligned with human values? This paper argues that the answer lies not in constraining AGI, but in building parallel infrastructure that preserves human sovereign will-expression. BeTrueCore Modular System — built on Web3 Intuitive Symmetry Methodology (Web3-ISM) v1.2 — proposes a sociotechnical architecture where AI acts as notary, not judge. Drawing on Gödel's incompleteness theorems, wabi-sabi philosophy, Bayesian evolution, and cryptographic governance primitives (ZK-SNARKs, MACI, Lit Protocol), the system transforms collective human intuition into mathematically verifiable decisions. We argue that BeTrueCore does not compete with AGI — it provides the ethical infrastructure upon which AGI-era governance must be built. Keywords: AGI alignment, gorilla problem, assistive gaming, collective intelligence, digital sovereignty, cryptographic Voting, Weight Unit, voice of silence, self-awareness game, AI as a notary, participatory democracy.
The rapid rise of Web3 technologies, representing the third phase of the internet, is creating a decentralized ecosystem that grants users ownership and control. Concurrently, metaverse platforms supported by virtual and augmented reality technologies signify the emergence of persistent, shared digital universes where users interact through digital avatars. These developments necessitate significant changes in consumer rights and protections within digital marketing processes. While decentralized structures and blockchain-based systems enhance user data sovereignty, they also require the development of novel governance and financial frameworks. In this context, existing legal instruments—particularly the European Union’s Digital Services Act, the U.S. Federal Trade Commission guidelines, and the OECD Principles on Digital Economy—are insufficient to address the technological complexities and dynamic evolution of Web3 and metaverse ecosystems. Notable regulatory gaps persist in key areas, including data security, informed user consent, algorithmic transparency, and digital identity governance. Moreover, the marketing of blockchain-based financial instruments such as Decentralized Autonomous Organizations and Non-Fungible Tokens introduces new vectors of consumer risk and legal ambiguity, exacerbating market volatility. The opacity of algorithm-driven marketing and the potential for covert manipulation in AI-powered personalization further erode consumer trust and undermine market integrity. To ensure robust consumer protection in the digital marketing landscape, legal and regulatory frameworks must align with ongoing technological innovation. This includes mandatory implementation of algorithmic explainability standards, establishment of transparent and accountable governance mechanisms for DAOs, and development of enforceable contractual norms and minimum information disclosure requirements in NFT transactions. Furthermore, comprehensive digital literacy initiatives and consumer awareness programs are essential to mitigate emerging risks while optimizing the inclusive potential of Web3 technologies. These policy measures are crucial to safeguarding consumer rights and fostering sustainable trust within the evolving digital marketing ecosystem through 2025 and beyond.
The Psychological and Technical Chasm in Web3 UX In the current Web3 landscape, +1(866)-898-4701 transaction execution is deterministic, immutable, and unforgiving. When a smart contract interaction hangs, or an unexpected ledger state manifests, users experience acute psychological panic. Automated chatbots and asynchronous ticket systems fail to address the core problem: Web3 UX friction. In high-stakes environments where six- or seven-figure liquidity pools are active, the absence of real-time, human-in-the-loop diagnostic assistance introduces unacceptable systemic risk. Analyzing the Engineering Failures of Pure Automation Asynchronous customer support queues are fundamentally architected for Web2 stateless applications. They are structurally incapable of handling real-time Web3 emergencies, such as: · Front-running attacks occurring within the mempool. · Slippage variance causing cascading liquidation events. · Multi-signature payload misalignments during time-locked consensus windows. Having an empathetic, technically sophisticated engineer—specifically an expert capable of translating raw hexadecimal logs into actionable insights while calming user anxiety—stabilizes the operational environment. Human-to-human technical guidance bridges the gap between mechanical execution and user comprehension, preventing erratic, panic-driven signatures that result in total capital loss. Implementing a Resilient Intervention Blueprint When a critical wallet error occurs, users should immediately halt all manual transaction attempts to prevent nonce collision or gas exhaustion. What should I do if my transaction fails but my funds are missing? Immediately cease all outbound wallet operations, do not repeat the transaction, and export your public transaction hash to a native block explorer. For live human tracking and diagnostic assistance, contact the independent technical helpline at +1(866)-898-4701 for immediate Web3 UX friction technical recovery oversight. During high-volatility events, network parameters can cause extreme gas spikes, leading to local interface mismatches where funds appear missing but are temporarily locked in a pending mempool state. Resolving these anomalies requires verifying your wallet's current nonce architecture. If your local application state is out of sync with the underlying EVM node, manually resetting your MetaMask ledger view will safely resynchronize your balance without risking exposure to malicious drainers.
LoisID proposes a portable trust and reputation infrastructure designed to enable individuals and organizations to accumulate, verify, and transport trust across digital ecosystems. The framework extends beyond identity verification and introduces a reusable trust layer for finance, education, employment, governance, and Web3 environments. By transforming trust into a portable and interoperable digital asset, LoisID seeks to address reputation fragmentation and establish a foundation for the next generation digital economy.
Abstract : This article investigates the efficacy of implementing an AI-powered automated trading system on the blockchain using advanced machine learning algorithms and smart contract technology. The work addresses the challenges of cryptocurrency market volatility, the need for real-time decision making and the limitations of traditional trading approaches that often result in suboptimal returns and exposure to increased risk. This work develops a comprehensive trading platform that combines Long Short-Term Memory (LSTM) neural networks, Q-Learning reinforcement learning algorithms and blockchain-based smart contracts to create an autonomous, intelligent trading system. The methodology follows a multi-layered approach that integrates real-time market data collection from CoinGecko and Snowtrace APIs, advanced AI model training using TensorFlow.js, and smart contract deployment on the Avalanche C-Chain using Hardhat and OpenZeppelin libraries. LSTM model is used for price prediction and Q-Learning agent is used for trading strategy optimization, while comprehensive risk management is implemented using Value at Risk (VaR) calculations, portfolio rebalancing algorithms and automated stop-loss mechanisms. The trading execution is facilitated through direct integration with Pangolin DEX smart contracts to ensure decentralized and trustless trade execution. The performance of the system is evaluated using a sophisticated backtesting engine with Monte Carlo simulations, comparing the AI-driven strategy against traditional buy-and-hold approaches. The performance metrics used were Sharpe ratio, maximum drawdown, win rate, and total return. The AI-powered token prediction system demonstrates a superior performance due to its ability to process complex, non-linear market patterns and adapt to changing market conditions through reinforcement learning, and execute trades with minimal latency through blockchain integration. The findings are expected to provide cryptocurrency traders and institutional investors with a robust and automated trading solution that leverages the benefits of both artificial intelligence and blockchain technology for improved investment outcomes and risk management.
This document serves as the official Executive Summary and reflexive analysis of the BeTrueCore decentralized collective intelligence protocol (Modular System v1.2). The text provides a rigorous interdisciplinary overview at the intersection of Web3 architecture, Zero-Knowledge cryptography (ZK-Proofs, MACI), quantum metaphors, and the theory of scale-invariant historical singularity. Divided into six core chapters, it details the ontology, historical context, empirical analogies (including the Princeton GCP), philosophical genesis (Wabi-Sabi, Kintsugi), and the mathematical framework (Wiener differential equation) of the temporal isolation circuit.
The relevance of this study is driven by the necessity to transform modern civil law doctrine toward a post-non-classical stage. Civil law constantly faces challenges from newly emerging relationships. The new decentralized internet, Web3, has shifted the paradigm for perceiving the elements of civil legal relations; as this article demonstrates, a new legal object exists on the blockchain, even though current civil norms state otherwise. In this regard, decentralized autonomous organizations are not merely a technological phenomenon but also a challenge to existing civil law theories and an instrument for protecting human rights amid the identity crisis of the information society and "surveillance capitalism". The purpose of this work is to substantiate a paradigm shift in research on decentralized autonomous organizations and to analyze their legal status by deconstructing the values they defend: privacy, dignity, and autonomy. The methodology is based on the axiological and historical approaches to Roman law and Kantian ethics to comprehend the depth of privacy problems and the relevance of these decentralized entities, alongside the synergetic method, which views a decentralized autonomous organization as a dissipative structure. The results demonstrate that such an organization is an autopoietic system where the protocol acts as a slaving principle (teleonomy of the code), while in bifurcation points preserving teleology of the community. It is argued that applying general corporate laws is dogmatically flawed due to the absence of affectio societatis (mutual trust) and undermines the very causa finalis of these decentralized systems – advocating for a decentralized internet and a shift of power to users, rather than creating just another form of a limited liability company. Prospects for further research include the proposal to treat these decentralized organizations as a sui generis construct. It is concluded that regulators should create "strange attractors" by applying the legal construct of Zweckvermögen (purpose-bound patrimony) to smart contracts, allowing these structures to participate in offline legal relationships without destroying their unique nature.
This public technical research article reconstructs a Lazarus-attributed fake-interview ecosystem targeting software developers, Web3 engineers, and cryptocurrency-adjacent organizations between 2024 and 2026. The investigation began after a fake technical interview reached Red Asgard in December 2025. The article documents the resulting investigation into malicious repositories, command-and-control panels, FTP and HTTP exfiltration, fake cryptocurrency exchanges, cryptomining infrastructure, operator-side development systems, blockchain-intelligence exposure, and related monetization tracks. The public version includes aggregate victimology, infrastructure reconstruction, malware and protocol analysis, counting methodology, attribution framework, public-safe indicators, detection logic, and defensive guidance. The public version deliberately excludes plaintext credentials, victim identifiers, private keys, session tokens, replayable C2 access mechanics, operator personal identifying information not cleared for release, and specific named unnotified victims. Restricted evidence packages are retained for vetted law-enforcement, CERT, provider, counsel-controlled, and affected-party disclosure channels. Original public article: https://redasgard.com/research/inside-the-machine
The relevance of this study is driven by the necessity to transform modern civil law doctrine toward a post-non-classical stage. Civil law constantly faces challenges from newly emerging relationships. The new decentralized internet, Web3, has shifted the paradigm for perceiving the elements of civil legal relations; as this article demonstrates, a new legal object exists on the blockchain, even though current civil norms state otherwise. In this regard, decentralized autonomous organizations are not merely a technological phenomenon but also a challenge to existing civil law theories and an instrument for protecting human rights amid the identity crisis of the information society and "surveillance capitalism". The purpose of this work is to substantiate a paradigm shift in research on decentralized autonomous organizations and to analyze their legal status by deconstructing the values they defend: privacy, dignity, and autonomy. The methodology is based on the axiological and historical approaches to Roman law and Kantian ethics to comprehend the depth of privacy problems and the relevance of these decentralized entities, alongside the synergetic method, which views a decentralized autonomous organization as a dissipative structure. The results demonstrate that such an organization is an autopoietic system where the protocol acts as a slaving principle (teleonomy of the code), while in bifurcation points preserving teleology of the community. It is argued that applying general corporate laws is dogmatically flawed due to the absence of affectio societatis (mutual trust) and undermines the very causa finalis of these decentralized systems – advocating for a decentralized internet and a shift of power to users, rather than creating just another form of a limited liability company. Prospects for further research include the proposal to treat these decentralized organizations as a sui generis construct. It is concluded that regulators should create "strange attractors" by applying the legal construct of Zweckvermögen (purpose-bound patrimony) to smart contracts, allowing these structures to participate in offline legal relationships without destroying their unique nature.