Blockchain Papers

Dmitry Ivanov

Operations and supply chains have witnessed spectacular transformations through Industry 4.0 and Industry 5.0. Is the next industrial revolution – Industry 6.0 – unfolding in the context of artificial intelligence (AI) and human-AI collaboration? And, possibly, even Industry 7.0 and superintelligence (SI) are just around the corner? In this paper, we conceptualize the transition toward Industry 6.0 as the Ecosystem Age that builds upon technologies developed in Industry 4.0 and viability-centric socio-ecological principles proposed in Industry 5.0, emerging into a cyber-socio-technical-ecological industrial revolution. We create a taxonomy of industrial revolutions based on the types of work that have been replaced/transformed by machines over time, and utilize it to delineate Industry 6.0 and forecast Industry 7.0 framed in technology (e.g., generative AI, agentic AI, edge AI, and humanoid robots), organization (i.e., decentralized, autonomous, agentic-driven planning and control), and modelling (OR-AI symbiosis) dimensions. Second, we discuss potential impacts of the transition toward Industry 6.0 on Operations Research (OR) with associated challenges and chances, outlining a 7-layer architecture of OR-AI symbiosis in digital twins. We elaborate on the technology and viability principles that frame Industry 6.0 and discuss scenarios for further transitioning toward next industrial revolutions and cyber-virtual, AI-driven networks that learn, adapt, self-organize, and regenerate. We conclude by outlining research opportunities for OR in the new era of supply chain and operations management in the AI and superintelligence age.

Naiheng Zhang

Abstract In the digital age, the reliance on network communication for information exchange has surged, making encrypted network traffic a linchpin of secure digital interactions. However, while encryption safeguards data, it creates hurdles for network management and security surveillance. Conventional deep packet inspection (DPI) falters when faced with encrypted traffic, and existing studies in this area have drawbacks like reliance on trusted third parties and limited detection capabilities. To address these issues, we present a novel zero knowledge proof based encrypted traffic management( $$\mathbb {ZKP}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ZKP</mml:mi> </mml:math> - $$\mathbb {PET}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>PET</mml:mi> </mml:math> ) scheme. By integrating a third-party verifier operating under the honest-but-curious (HBC) model, $$\mathbb {ZKP}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ZKP</mml:mi> </mml:math> - $$\mathbb {PET}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>PET</mml:mi> </mml:math> establishes a trustless verification system that effectively and efficiently curbs metadata leakage. $$\mathbb {ZKP}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ZKP</mml:mi> </mml:math> - $$\mathbb {PET}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>PET</mml:mi> </mml:math> is implemented with two applications: HTTP traffic blocking and blacklist management. For HTTP traffic blocking, the BTHP circuit is developed to extract version details from TLS traffic and verify compliance, enabling precise traffic control. In blacklist management, tailored extraction algorithms for DoT and DoH encrypted DNS traffic are implemented, and Merkle tree based membership proofs are utilized to decide whether to intercept traffic. Experimental evaluations demonstrate that $$\mathbb {ZKP}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ZKP</mml:mi> </mml:math> - $$\mathbb {PET}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>PET</mml:mi> </mml:math> can efficiently enforce diverse network policies on encrypted traffic. It not only safeguards security and privacy but also exhibits outstanding performance, offering a dependable, efficient, and privacy-centric solution for encrypted network traffic management.

Sachin Kumar, Manish Kumar

This article aims to examine how the metaverse is reshaping business and management by providing a review of existing literature, identifying critical research gaps, and proposing a novel conceptual framework—the Metaverse Ecosystem Model—that integrates technological, human, and sustainability dimensions with strategic business outcomes in the Web3 era. The article will embrace a conceptual knowledge and literature review that articulates conceptual underpinnings, marketing and consumer behaviour, sectoral uses, and sustainability/workforce/boundaryless futures. This was synthesised directly into the creation of the Metaverse Ecosystem Model that connects three pillars (technological infrastructure, workforce skills, and energy and sustainability) to the business opportunities, challenges, and quantifiable results. The review shows that, although the metaverse can be used to conduct immersive marketing, operational efficiency via digital twins, sustainable industrial use, and inclusive development in emerging economies, the studies are disjointed and siloed. Among the critical areas of gaps, there are the lack of integrated frameworks between the foundational enablers and outcomes and the scarcity of empirical focus on long-term sustainability and workforce readiness. The suggested Metaverse Ecosystem Model fills these gaps by showing causal relationships between the three pillars via opportunities and constraints to innovation, new business models, and high customer engagement. It represents the first comprehensive framework of the ecosystem, specific to business and management, which provides managers and policymakers with a useful roadmap to responsible adoption.

Andry Alamsyah, Nanda Salsabila

Purpose This paper aims to examine decentralized finance (DeFi) as a Web 3.0 information system, not solely as a financial innovation. It synthesizes how DeFi mechanisms are structured across architectural, functional and governance dimensions and clarifies how they reshape trust, coordination, transparency and accountability in decentralized digital environments. Design/methodology/approach The study adopts a state-of-the-art survey based on a structured review of academic, industry and regulatory literature. The reviewed sources are analyzed to identify major system components, including decentralized applications, smart contracts, blockchain-based execution layers, oracle-based data integration, governance protocols and interoperability mechanisms. Expert interviews provide supplementary interpretive context on adoption barriers and governance tensions. Findings DeFi operates as a web-native information system composed of interconnected service layers supporting exchange, lending, payments, insurance, asset management and protocol governance. These mechanisms increase programmability, automation and accessibility while introducing persistent challenges related to governance concentration, security vulnerabilities, scalability constraints, usability barriers, oracle dependence and regulatory fragmentation. Originality/value While prior DeFi surveys have characterized mechanisms, business models or regulatory arrangements, this paper is the first to read DeFi as a layered Web 3.0 information system, integrating distributed execution, data coordination, service composition and decentralized governance. It offers a structured synthesis and a system-oriented perspective relevant to researchers and practitioners interested in decentralized applications, blockchain-based web services and digital financial infrastructure design.

Jacob Matthews

Cet article présente les résultats d’une enquête auprès des « petites mains » de l’Internet des blockchains . Il analyse les paradoxes d’un discours alliant esprit communautaire et individualisme forcené, promotion de la décentralisation et collaboration croissante avec les géants technologiques. Se présentant comme apolitiques et pragmatiques, ces acteurs participent à une marchandisation du réel où tout devient opportunité d’investissement. Malgré ses prétentions disruptives, leur vision techno-solutionniste contribue à renforcer le capitalisme existant et une oligarchie technologique dont la position repose sur la défense de la propriété et des inégalités.

Yuhao Li, Elaine Shi, Mengqian Zhang

Blockchains have popularized the Automated Market Makers (AMMs), where users trade crypto-assets directly with a smart contract, governed by a pricing function embedded in the contract's code. Today, users of AMMs are often forced to accept unfavorable prices due to widespread front-running and back-running attacks, commonly known as Miner Extractable Value (MEV). Several earlier works show impossibility results suggesting that completely removing MEV at the consensus layer is impossible, partly because the consensus layer is agnostic of application-level semantics. For this reason, more recent works have advocated mechanism design approaches at the application (i.e., smart contract) level. We study a natural two-asset AMM mechanism design problem recently initiated and explored in prior work by Chan, Wu, and Shi, in which they proposed a mechanism that satisfies a surprisingly strong notion of incentive compatibility (IC), under the consensus assumption that the underlying blockchain provides sequencing fairness. In this paper, we investigate the (in)feasibility of simultaneously achieving IC and other desirable properties such as weak local efficiency (wLE) and uniform pricing (UP). At a high level, wLE requires that the mechanism should not leave any unfulfilled demand from users whose asking prices are not overly restrictive, and whose orders could have been executed directly against the pool. UP requires that all orders that get (partially) executed must trade at the same exchange rate. We unveil the underlying mathematical structure of AMM mechanism design, and our main results can be summarized as a trilemma-style theorem: among the desirable properties IC, wLE, and UP, any two out of three are possible, but no mechanism can satisfy all three.

Onur Eren Arpaci, Florian Kerschbaum, Sujaya Maiyya

Encrypted cloud storage can hide data contents but still leak sensitive information through access patterns. ORAM addresses this by hiding access patterns, but existing ORAM systems are too inefficient to deploy in practice. We present Cloak, an oblivious storage system that dramatically improves performance by leveraging a simple, widely observed property of real workloads: temporal locality, where recently accessed items are more likely to be accessed again soon. Instead of trying to make server accesses look perfectly uniform, Cloak makes server traffic follow a fixed, "recentness-biased" pattern and then uses real queries to fill as much of that traffic as possible. When the workload exhibits temporal locality, Cloak achieves overheads as low as $1.1\times$ over a non-oblivious and unencrypted baseline. Importantly, this heuristic affects only performance, not security. We evaluate Cloak on Netflix click-stream and Ethereum transaction traces, achieving 165,000 and 157,000 operations per second, respectively, on a single machine.

Deep Nath, Paolo Tasca, Nikhil Vadgama, Marco Alberto Javarone

Quantifying structural stress in transaction networks requires metrics that capture structural organization beyond transaction volume alone. In this work, we introduce the Inefficiency Metric, a deterministic indicator designed to characterize the routing structure of capital flows in decentralized systems. Using Principal Component Analysis and Pearson correlation matrices computed from a six-year Hedera transaction dataset, we identify two dominant and largely independent structural dimensions: the effective diameter, related to the spatial extension of transaction propagation, and the closeness centrality, associated with the efficiency of network-level flow processing. The proposed metric reveals significant topological fluctuations associated with major macroeconomic and ecosystem-level events. Increased inefficiency is observed during periods marked by intermediary fragmentation or rapid smart-contract expansion, whereas lower inefficiency corresponds to phases of network compaction during market stress or institutional concentration. Comparison with a seven-dimensional Isolation Forest approach shows that the metric effectively captures severe multidimensional anomalies while preserving a clear structural interpretation. Overall, these results provide a physics-inspired framework for relating the large-scale organization of decentralized transaction networks to observable economic dynamics.

CHRISTINE MWENDE KIMUYA

This study presents a comparative analysis of the devolution of education governance between Makueni County in Kenya and Ontario, Canada, focusing on governance structures, funding mechanisms, and educational outcomes. The paper analyzes the various challenges and opportunities posed by decentralization in both regions, with a focus on differences in administrative resources, the distribution of central funds, and local government performance; Others are more systemic within the childhood education environment, for example Makueni County is still quite a long way behind Ontario in terms of fully (for the most part) functioning decentralized education systems, check out the comparative in terms of sustainable or reliable governance models, funding mechanisms and local autonomy, the other perhaps is regional segregation as certainly Makueni County has some overarching larger issues beyond just early childhood development e.g. the funding issues and deployment issues of teachers, but these perhaps can be attributed to the ongoing issues with devolution within Kenya and indeed with human capital in this region more broadly. Employing a mixed-methods research design including policy analysis, interviews and analysis of secondary data, the study examines the impact of devolution on educational outcomes. Results suggest that Makueni promotes more local participation but faces challenges with institutional functionality and fair financing, contrary to the Model of Ontario, which shows a much higher levels of efficiently, equity and accountability. The paper then ends with policy recommendations for Makueni, and suggesting to implement ones from Ontario´s decentralized system that could be a solution for Makueni missing in governance, financial, and education standards.

Benjamin P. Duncan

PARALLAX-5 is a transition-level obligation interface for value-bearing decentralized systems. The interface consists of five primitive obligations: value conservation, authorization closure, signature integrity, temporal distinctness, and external-attestation trust. Under an explicit security-interface adequacy condition, every trust-base-respecting loss-inducing transition has a non-empty violation signature; the claim is falsifiable by basis counterexamples that are precisely defined. The substrate composes with a production EVM semantics via a typeclass-based refinement: nineteen abstract theorems lift to compiled Lean 4 proof terms over EvmYulLean's EvmYul.EVM.State (Cancun fork). The Lean 4 module compiles to 95 theorems with zero sorry; 129 Python fire tests pass across three suites; a 53-incident empirical catalog (2016–2026, $5.97 billion aggregate losses) classifies each entry by minimum observability set. The package also defines a step-secure execution-time shield, an AI-Agent Containment Theorem, a five-component PARALLAX-CROPS trust-surface vector, a 19-field machine-checkable certificate schema with seven-state lifecycle, an onchain certificate registry (Solidity 0.8.24, live on Sepolia at 0x8015A98dF9037Cd79a03B291a6fF3C2841992D5b), and three worked examples covering value conservation, bridge attestation, and AI-agent runtime gating. The standard text is dedicated under CC0 with structurally irrevocable non-capturability commitments; code artifacts are released under Apache-2.0; this paper is licensed under CC-BY 4.0. v1.0.1 changes (vs v1.0.0, doi:10.5281/zenodo.20400525): repository-hygiene release. Removed four non-substrate subsystems (hse, product, economics, chronos) that were not paper-aligned. Standardized fire-test count from 134 to 129 to reflect the cleaned codebase. Restructured standalone specifications under docs/ directory with canonical names (CHARTER.md, FORK_PROTOCOL.md, CERTIFICATE_SCHEMA.md, etc.). Converted forge-std to a proper git submodule. Added CITATION.cff, CHANGELOG.md, CONTRIBUTING.md, SECURITY.md. The substrate's mathematical content, theorems, and verification gates are unchanged from v1.0.0.

Lucas Strapasson Blum

No abstract is available for this record.

Inseong Jeon, Sundeuk Kim, Hyunwoo Kim, Hoh Peter In

<title>Abstract</title> As Solidity becomes the dominant language for blockchain smart contracts, efficient debugging grows increasingly critical. However, current Solidity debugging remains inefficient: developers must compile, deploy, set up transactions, and step through execution line-by-line to examine each variable. This process is too slow for practical use. To address this challenge, this paper presented SolQDebug, the first interactive source-level debugger for Solidity that delivered millisecond feedback directly on source code. Developers specify input value ranges through annotations and compare them against abstract interpretation results, thereby enabling exploration of contract behavior across multiple execution paths. SolQDebug was evaluated on 30 real-world functions from DAppSCAN, achieving 350$\times$ faster debugging (0.15s vs. 53s per function) than Remix IDE. The evaluation provided debugging insights: overlapping annotation patterns improved precision in most Solidity debugging scenarios, while analysis of diverse loop patterns demonstrated improved convergence while preserving soundness guarantees. These results demonstrated that SolQDebug enabled interactive debugging for Solidity development.

Satoshi Kawauchi

This paper proposes a next-generation edge measurement and control system that integrates physical sensors, virtual sensors, generative AI, high-precision simulation, stochastic resonance, dynamic reconfigurable hardware, legal compliance engines, distributed ledgers, and Fail-Legal control. By combining real and virtual data, the system compensates for sensor failure, noise, sampling limits, communication degradation, and regulatory changes in real time. Its core concept is to shift control from “measure → judge → act” to “predict → verify → legalize → control → prove,” enabling safer, legally compliant, evidence-driven operation through Quantum Thought Circuit OS ASI.

Elli Androulaki, Marcus Brandenburger, May Buzaglo Rosenbaum, Angelo De · 12 authors

The adoption of Distributed Ledger Technology (DLT) for critical financial infrastructures like Central Bank Digital Currencies (CBDCs) is hindered by a significant performance gap. Permissioned blockchains such as Hyperledger Fabric, which are conceptually suitable and have become popular platform used in many production deployments today, are nevertheless limited by architectural bottlenecks. Their monolithic peer design and consensus mechanisms prevent them from achieving the required scale for such demanding applications.

Lev Goukassian

This paper provides the rigorous engineering specification for the Ternary Logic (TL) Smart Contract Execution Layer, defining deterministic rules for all state transitions within the constitutional triadic model: Proceed (+1), Epistemic Hold (0), and Refuse (1). The Epistemic Hold is specified as the fail-closed default state, returned by TL_Evidence_Vault.getTransactionState() for any transaction whose evidence has not yet been archived, making uncertainty constitutionally visible rather than operationally invisible. The specification defines three forbidden transitions: Epistemic Hold to Epistemic Hold re-resolution, direct Refuse to Proceed, and direct Proceed to Refuse. Resolution of the Epistemic Hold to either Proceed or Refuse requires Stewardship Custodian quorum attestation of nine of eleven members. The Dual-Lane Latency Architecture is specified with a 2ms WCET hard ceiling at the 99.99th percentile for the Inference Lane and a 300ms hard ceiling with 50ms jitter maximum for the Governance Lane. The No Log = No Action invariant is enforced across five independent layers culminating in the on-chain terminal gate at TL_Ledger_Core.registerPermissionToken, which reverts NLNAViolation if the logHash is not provably included in an anchored Merkle root. The Smart Contract Treasury fee architecture is defined as governance parameters labeled Nomination 2026, establishing permissionTokenFee and archiveEvidenceFee as Tri-Cameral Joint-Approval variables rather than hardcoded constants. The Epistemic Hold carries no fee by constitutional design. The specification includes the Triple-Entry Accounting model extending traditional double-entry with a third cryptographically secured entry recording justification and context, Role-Based Access Control implementation patterns, the complete use case library spanning financial services, sustainable finance, supply chain, and decentralized governance, and a full Glossary of Terms establishing the canonical V2.0 vocabulary of the TL framework.

Lev Goukassian

This paper presents the governance architecture for the Ternary Logic (TL) Smart Contract Constitutional Suite, introducing the Tri-Cameral model as the institutional framework for distributed constitutional authority. The central thesis is that governance in TL is not management but rule enforcement over the rule enforcers. The Technical Council of nine members holds exclusive proposal rights and cannot exercise veto authority. The Stewardship Custodians of eleven members hold binding constitutional veto authority and cannot originate proposals. The Smart Contract Treasury operates autonomously under code governance with no admin key, collecting TL service fees as governance parameters established at Nomination 2026 and disbursing through Joint-Approval requiring a 75% supermajority independently in both governance bodies. The paper specifies the NL=NA five-layer enforcement chain from API schema validation through the on-chain terminal gate in TL_Ledger_Core.registerPermissionToken, the four-stage upgrade workflow with mandatory timelocks, and the enforcement process for operator certification and revocation. The structural limits of TL governance are defined: no governance body may eliminate the Epistemic Hold, reverse a Refuse state, bypass the Immutable Ledger, weaken the Goukassian Principle, or exercise the No Switch Off prohibition. These limits are not policy but bytecode. The paper concludes that governance power is legitimate only when it is bounded, transparent, and verified. The measure of good governance in TL is that it is used as little as possible.

Lev Goukassian

This paper presents a comprehensive defense-in-depth security analysis for the Ternary Logic (TL) Smart Contract Constitutional Suite. The analysis models adversarial threats not merely as code exploits but as economic attacks: governance capture, oracle manipulation, MEV front-running, flash loan price manipulation, chain reorganizations, and censorship. Security goals are defined for each TL constitutional invariant including NL=NA enforcement, Epistemic Hold bypass prevention, Refuse state finality, tamper-evident Decision Logs, elimination of God Mode access, and Anchor verifiability. The blueprint maps specific contract-level controls, operational controls, and verification metrics to each of the eight foundational pillars of the TL framework. The V2.0 implementation references TL_Ledger_Core.sol and TL_Evidence_Vault.sol as the on-chain enforcement layer, with the Dual-Lane Latency Architecture establishing the 2ms Inference Lane and 300ms Governance Lane timing constraints that the security model must preserve under all attack conditions. The No Log = No Action invariant G(execute implies P(escrow_recorded and auditable)) is the constitutional mechanism that no off-chain bypass can circumvent. The Tri-Cameral governance model comprising the Technical Council, Stewardship Custodians, and Smart Contract Treasury is analyzed as the institutional defense against capture. Formal verification targets, fuzzing strategies, third-party audit cadence, and incident response runbooks complete the security assurance framework.

Hari K. Nagarajan, Vivek Pandey, Anirudh Tagat

This paper examines the impact of decentralization and partial financing of healthcare through local governments (Panchayats) in India on the health status and income of household members. We construct a healthcare and illness dataset from the nationally representative Rural Economy and Demography Survey (REDS) which is comprised of 14,841 adults from 238 villages. Using this dataset, we examine how various forms of decentralization affect the health status, health-seeking behaviour, and welfare of village residents. Choice of public healthcare is shown to have higher welfare impacts compared to other forms of healthcare providers and the out-of-pocket health expenditures. We show that individuals react not only to the supply-side measures by federal and state governments, but also to mechanisms of decentralized health governance. We also demonstrate that efficient choices concerning healthcare made by household members contribute significantly to the village-level economic activity. The traditional instrumental variable estimates are robust to post-double-selection LASSO specifications.

S Murugesan

This study investigates the dynamic relationship between network activity and transaction fees in the Ethereum blockchain by analysing the interaction between Gas Used and Gas Price through a multivariate time series model. The objective is to determine whether variations in network demand influence short-term gas price fluctuations. Daily data of Gas Used and Gas Price were transformed into different logarithmic forms to ensure stationarity. The Augmented Dickey–Fuller test confirmed that both variables are stationary at the five percent significance level, with ADF statistics of −6.21 for Δlog (Gas Used) and −7.12 for Δlog (Gas Price), and p-values below 0.001. The Vector Autoregression model was estimated with an optimal lag length of fourteen days, selected using the Akaike Information Criterion, reflecting the persistence of network and fee dynamics. The results of the Granger causality test indicate a unidirectional causal relationship from Gas Used to Gas Price, with an F-statistic of 3.72 and a p-value of 0.018, suggesting that fluctuations in network demand significantly precede changes in gas pricing. The reverse direction is not significant, with an F-statistic of 1.26 and a p-value of 0.28, indicating that transaction fees do not predict network activity. The impulse response analysis shows that a one standard deviation shock in Gas Used increases Gas Price for two to three days before returning to equilibrium, while shocks in Gas Price have minimal effects on Gas Used. These findings confirm that Ethereum’s fee market operates primarily as a demand-driven mechanism were congestion and transaction volume shape short-term gas price movements.

Zishan Ashraf Mohammad, Nick Harkiolakis, Saman Sarbazvatan

Although there has been a massive increase in the size and complexity of the cryptocurrency ecosystem, most of the academic research into the relationship between token design parameters and the long-term value of a given token is still very much in its infancy. Most of the research in tokenomics is theoretical in nature, based upon frameworks for understanding, or is focused solely on observing a specific time frame. The authors of this paper address the above mentioned void by studying the statistically significant relationships between five on-chain tokenomic variables--transaction gas fees, total value locked (TVL), token unlocks, tokens burned, and governance concentration (as measured using the Gini coefficient) -- and the market price of Ether (ETH) during a 52 months observation window that began in August 2021 and ended in September 2025. The data for the study consisted of bi-weekly observations (n = 108) which allowed researchers to use three different analytical methods--Spearman correlation analysis, log-linear multiple regression analysis, and an error correction model (ECM) after conducting Johansen cointegration and unit root tests. A cointegrating equation among the variables was established through Johansen Trace Testing, indicating that all of these variables do indeed exhibit a long-run equilibrium relationship. The ECM revealed that the total amount of funds “locked” into smart contracts (“total value locked”) was the strongest single predictor of the price of Ether in both the long run (beta = 0.8, p &amp;lt; 0.001) and short run (beta = 1.18, p &amp;lt; 0.001) specifications. Additionally, it was found that token unlocks have a negative relationship with price (beta = −0.22, p &amp;lt; 0.001). Gas Fees (beta = 0.2, p = 0.021) and tokens burned (beta = 0.15, p = 0.039) had positive coefficients at the 0.01 level in the long-run specification; however, both exhibited extremely high levels of multicolinearity (Variance Inflation Factor&amp;gt;28,000), likely due to their technical/operational linkages under EIP-1559. Voting power did not demonstrate a statistically significant relationship to price (rho =0.143, p &amp;gt; 0.05).

Tanmay Khodankar, Dr. Ashwini Garkhedkar

India's asset management systems, especially land records, property registries and ownership documents, face major challenges such as fraud, ownership disputes, slow manual verification and fragmented documentation. These issues affect citizens, government departments, financial institutions and real-estate stakeholders. Blockchain technology provides an opportunity to improve asset management by creating tamper-resistant records, transparent transaction history and automated workflows through smart contracts. This paper studies the use of blockchain platforms for asset management in India with a comparative focus on Hyperledger Fabric and Ethereum. The study analyzes technical architecture, performance, privacy, cost, scalability and implementation barriers. It also considers Indian use cases such as Telangana land parcel initiatives, Karnataka Bhoomi-related digital land record modernization and national-level blockchain adoption efforts. The findings show that Hyperledger Fabric is more suitable for regulated government asset systems because it provides permissioned access, privacy channels, higher transaction throughput and lower operational cost. Ethereum is useful for public transparency and open applications, but its public-chain gas cost, lower throughput and regulatory challenges reduce suitability for high-volume government asset records. The paper concludes that a permissioned blockchain model with proper standards, legacy-system integration, legal recognition and rural digital infrastructure can support scalable blockchain-based asset management in India.

G'oyibnazarova Aziza Abdullo qizi

Mazkur ilmiy tezisda blokcheyn texnologiyasining xavfsizlik jihatlari, ayniqsa markazlashmagan tarmoqlarda yuzaga keladigan asosiy tahdidlar va ularni bartaraf etish usullari tahlil qilinadi. Tadqiqot davomida 51% hujumi, Sybil hujumi, Double Spending, smart-kontrakt zaifliklari, kriptografik kalitlar bilan bog'liq muammolar hamda DDoS hujumlarining blokcheyn infratuzilmasiga ta'siri o'rganildi. Shuningdek, Proof-of-Work, Proof-of-Stake, Multi-signature, shifrlash algoritmlari va audit mexanizmlarining xavfsizlikni ta'minlashdagi roli ilmiy manbalar asosida tahlil qilindi. Tadqiqot natijalari blokcheyn texnologiyasining yuqori darajadagi himoya imkoniyatlariga ega ekanligini ko'rsatsa-da, inson omili va dasturiy zaifliklar sababli xavfsizlikka tahdidlar saqlanib qolayotganini ko'rsatadi.

R Elavarasi

The rapid expansion of decentralized financial applications has increased the importance of understanding user trust in crypto wallet platforms. This study examines trust expressions in multilingual Phantom Wallet reviews using a hybrid classification framework that integrates BERT-based contextual embeddings with an XGBoost model. A total of 12,422 English and Indonesian reviews were collected and processed to construct a multilingual dataset for trust analysis. Exploratory findings reveal a highly polarized distribution of user ratings, indicating that trust in crypto wallets is strongly influenced by clear satisfaction or dissatisfaction rather than moderate evaluations. Cross-linguistic analysis indicates that Indonesian users express a higher proportion of low-trust reviews compared to English users, suggesting greater sensitivity to transaction errors and perceived asset safety concerns. Lexical patterns demonstrate that positive trust is associated with usability and performance stability, while negative trust is primarily driven by system failures, delays, and missing balance incidents. The results confirm that the BERT–XGBoost hybrid model is well-suited for decoding trust-related signals by combining contextual semantic understanding with structured metadata. This study contributes to the broader discourse on digital trust within Web3 environments by demonstrating an effective multilingual machine learning approach for analysing user perceptions in decentralized financial technologies.

Derek Regier, Andrew Polyak, Aresh Dadlani, Khosro Salmani

Temporal signed networks (TSNs) model the time evolution of cooperative and adversarial relationships that arise in applications such as social media analysis, trust and reputation systems, and financial transaction networks. While graph neural networks (GNNs) perform well for static or unsigned link prediction, effective learning in temporal signed graphs remains challenging due to the interaction of signed relations, evolving structure, and balance-theoretic constraints. To address this gap, we propose a \emph{modular} temporal enhancement framework for signed GNNs that integrates historical context into otherwise static architectures. The framework introduces a Historical Context Integration Module (HCIM) that combines learnable recency-aware temporal weighting, LSTM-based embedding trajectory modeling, and multi-head temporal attention to capture both short- and long-term signed interaction dynamics. Historical information is fused with current node representations using either global or node-adaptive weighting, allowing the architecture-agnostic framework to accommodate heterogeneous temporal behaviors. We instantiate the approach on the Self-Explainable Signed Graph Transformer (SE-SGformer), preserving interpretability while extending it with temporal awareness. Experiments on real-world and synthetic TSNs, including Bitcoin OTC, Bitcoin Alpha, Reddit, and small-world network models, demonstrate consistent and statistically significant improvements over the static baseline.