Jordan, Herbert, Jezek, Kamil, Subotic, Pavle, Scholz, Bernhard
The State Database of a blockchain stores account data and enables authentication. Modern blockchains use fast consensus protocols to avoid forking, improving throughput and finality. However, Ethereum's StateDB was designed for a forking chain that maintains multiple state versions. While newer blockchains adopt Ethereum's standard for DApp compatibility, they do not require multiple state versions, making legacy Ethereum databases inefficient for fast, non-forking blockchains. Moreover, existing StateDB implementations have been built on key-value stores (e.g., LevelDB), which make them less efficient. This paper introduces a novel state database that is a native database implementation and maintains Ethereum compatibility while being specialized for non-forking blockchains. Our database delivers ten times speedups and 99% space reductions for validators, and a threefold decrease in storage requirements for archive nodes.
As global pressure increases for sustainable and transparent supply chains, logistics organisations are exploring ways to strengthen environmental, social and governance (ESG) performance. This article examines how artificial intelligence (AI) and distributed ledger technologies (DLT) contribute to ESG integration in logistics. The study applies a qualitative desk research approach based on secondary data from 2017–2025, including sustainability reports, port authority publications, and the industry press. The comparative case analysis covers four Baltic logistics actors: the Port of Klaipėda (Lithuania), Vlantana (Lithuania), the Freeport of Riga/ Baltic Container Terminal (Latvia), and HHLA TK Estonia (Estonia). The findings show that Klaipėda’s LNG, OPS, and hydrogen projects enhance environmental outcomes; the Vlantana Norge case exposes social and governance compliance risks; and Riga and Tallinn demonstrate governance-oriented digitalisation through 5G networks and blockchain documentation. AI primarily supports efficiency and risk detection, while DLT secures the transparency and auditability of ESG data. Together, they function as complementary enablers of ESG reporting, though broader adoption requires regulatory alignment, interoperability, and investment in the digital infrastructure.
Lola Abellia, Moetia Septi, M. Indra, Muhammad Gilang Aidil Saputra · 5 authors
This study aims to analyze Islamic scholars' fatwas regarding the sale and purchase of Non-Fungible Tokens (NFTs) from a sharia economic perspective. On the one hand, NFTs offer economic opportunities through ownership of non-duplicable digital assets. On the other hand, concerns have arisen regarding the validity of transactions, the potential for speculation, and their compliance with sharia principles such as clarity of contracts, benefits (manfa'ah), and freedom from gharar (uncertainty) and maysir (speculation/gambling). This study uses a qualitative analysis method with a library research approach, specifically content analysis of fatwas, opinions of contemporary scholars, and classical and modern fiqh literature. The results show differences of opinion among Islamic scholars. Some permit NFT transactions under certain conditions, such as clear benefits and a lawful object, while others consider NFTs to carry high speculative risks and uncertainty. These differences are influenced by understandings of the substance of NFTs as contract objects and the context in which they are used. This article concludes that caution is essential in NFT transactions. Furthermore, clear regulations and guidance from sharia authorities are needed to ensure that NFT trading practices are conducted in accordance with Islamic economic principles, thus providing fair, transparent benefits, and free from prohibited practices.
Decentralized autonomous organizations based on team management and algorithmic mechanisms of decisionmaking play a serious role in the development of digital economy. Their introduction helps eliminate shortcomings typical of traditional hierarchical management and provides more democratic decision-making in digital communities. However, in spite of decentralization ideals today’s decentralized autonomous organizations demonstrate a stable trend towards recentralization of power. The article provides a systemic analysis of factors stipulating management centralization in decentralized autonomous organizations. By analyzing the current research and empiric data a comprehensive classification of such factors was put forward, as well as methods opposing them. Both technological and legal and social solutions are being discussed. The discussion substantiates the necessity to reach balance between decentralization and managerial efficiency. Finally, a conclusion was made running that sustainability of decentralized autonomous organizations does not depend on centralization elimination but on ability to develop adaptive mechanisms of power restriction.
Open access
Digitalization and Economic Development in Agriculture
The telecommunications and financial services industries face substantial challenges in inter-operator settlement processes, characterized by extended reconciliation cycles, high transaction costs, and limited real-time transparency. Traditional settlement mechanisms rely on multiple intermediaries and manual procedures, resulting in settlement periods exceeding 120 days with operational costs consuming approximately 5 percent of total revenue. This research presents a blockchain-anchored audit trail model enabling transparent, immutable, and automated inter-operator settlement. The framework leverages distributed ledger technology, smart contract automation, and cryptographic verification to establish a unified, tamper-proof transaction record. Empirical evaluation demonstrates 87 percent reduction in transaction fees, settlement cycle compression from 120 days to 3 minutes, and 100 percent audit trail integrity. Smart contract automation reduces manual intervention by 92 percent and eliminates 88 percent of settlement disputes. Market analysis indicates institutional adoption accelerated from 8 percent in 2020 to 52 percent by April 2024, with projected industry investment reaching 9.2 billion USD annually. The framework addresses scalability (12,000 transactions per second), interoperability, and regulatory compliance across multiple jurisdictions.
Community currencies (CCs) have been adopting innovative systems to overcome implementational hurdles from issuing paper currencies. Using a qualitative approach, this paper examined this digital transition of Sarafu Network in Kenya and its predecessor CCs as a case study. From the original vouchers launched in 2010, the foundation Grassroots Economics introduced a digital interface in 2016 that operates on a feature phone, and then integrated blockchain technology starting in 2018, undergoing several migrations before becoming settling on its current iteration called Community Asset Vouchers on the Celo blockchain since 2023. Using affordances from human-computer interaction, the research shows that digitalization and blockchain improved the facilitation of economic activities of the local communities, both their typical market transactions as well as traditional reciprocal labor exchanges, by offering more functionalities compared to the analog version of Sarafu. The unique contributions of blockchain include enabling automation of holding tax calculations and linking the vouchers to the mainstream monetary system via stablecoins facilitated by a series of smart contracts also known as the liquidity pool. The study also finds that there is an inherent trade-off between blockchain benefits and user interface complexity. Hence, balancing innovation and community needs remains a challenge.
Background Patent tokenization converts intellectual property (IP) into tradable digital units. Pilots on IPwe, IBM, and Ocean Protocol have processed > 1,500 assets ( ≈ $62 million since 2019). In practice, schedules are often fixed and pricing simplified; risk preferences are typically ignored—costing value in volatile settings relevant to the SDGs. Methods We cast patent tokenization as risk-sensitive control and linked economic risk aversion to inverse temperature. With the exponential transform Φ = e − γ V , the risk-sensitive Hamilton–Jacobi–Bellman (HJB) linearizes for fixed controls; the optimal policy is a pointwise threshold (bang–bang or smoothly regularized). This preserves tractability and enables millisecond solves. Results From 45 tokenization trajectories (12 held out), we estimate γ = 2.1 ± 0.38 (95% CI), while a composite objective F ( γ ) calibrated to equity-like orders peaks at γ * ≈ 3.02 ([2.9,3.2]). Monte Carlo ( n = 10,000 ) shows a ≈ 76% downside reduction and 92% success rate under ledger-based schedules. Solver latency drops by ∼ 850 × (40 s → 47 ms). Conclusion The thermodynamic lens explains why practice ( γ ≈ 2.1 ) deviates from the theoretical benchmark ( γ * ≈ 3.0 ) in our calibration: actors appear to trade maximal efficiency for robustness. The framework stabilizes revenues, drives fees to negligible levels, and supports SDG-aligned innovation finance by lowering the cost of access and adaptation under uncertainty.
The arrival of contracts which are smart has brought a pattern shift in the way agreements are carried off in terms of their performance as well as their implementation. Basically, the smart contracts run on a block chain type of codes, which means that they can also be called as a self-executing contracts because they emerge up with promising features of being efficient, transparent, and most importantly they reduce the dependency on intermediaries. However, in India there are certain growing issues in terms of the adoption of such smart contracts leading to legal and regulatory questions arising. Now, obviously when smart contracts come up with such efficient automated code driven contracts so talking about the traditional agreements which are long governed by well-established legal framework, definitely may face certain challenges in terms of their interpretation, enforceability and also the comparison with the contracts which are smart. This article focuses and explores the legal validity of smart contracts in India, also diving deep and examining their true potential to break the common practices of traditional agreements and try to fill up the regulatory gaps that exist. Now, by analyzing the current legal scenario and expected future challenges, it aims to provide awareness into whether smart contracts are truly a revolutionary tool or a ticking time bomb for the traditional agreements.
Decentralization of fiscal policy is a key factor in the formation of financial independence of local governments and strengthening the economic stability of regions in modern democratic states. Its relevance for Ukraine is determined by the need to strengthen the financial basis of territorial communities in the process of implementing administrative-territorial reform. The purpose of the study is to determine the decentralization of fiscal policy as a mandatory condition for obtaining an independent status of local communities; the object is the system of intergovernmental relations in democratic states. The methodological basis is comparative-legal and quantitative-analytical approaches, based on official statistical data Open Budget, World Bank Boost Data, the Ministry of Finance of Ukraine and the State Statistics Service. The results of the study showed that in 2018–2024 the share of income without transfers, tax revenues and own resources of communities increased, which confirms the increase in the level of fiscal autonomy. Legislative amendments to the Budget Code ensured the expansion of local revenue sources, the introduction of basic and reverse subsidy mechanisms and the strengthening of horizontal equalization. It was found that the Ukrainian model of fiscal decentralization is gradually approaching European practices, forming institutional prerequisites for the sustainable development of communities and strengthening their financial independence.
The global Web 3.0 Blockchain Market is projected to grow from USD 4.39 billion in 2023 to USD 64.28 billion by 2030, at a CAGR of 46.7%. The market focuses on decentralized applications, smart contracts, and digital assets, transforming industries such as finance, healthcare, and supply chain. To access the full report, visit - https://www.nextmsc.com/report/web-30-blockchain-market
Matteo Bonato, Rıza Demirer, Rangan Gupta, Abeeb Olaniran
This paper explores the role of mining activity, proxied by growth rates of electricity consumption and cost of mining, as a driver of pricing inefficiencies in Bitcoin. Utilizing alternative measures of crash risk proxied by the realized negative coefficient of skewness and realized down-to-up volatility, derived from 5-minute intraday Bitcoin data, causality tests, along with sign analysis, captured by the estimates of partial average derivatives, provide evidence that mining activity can, in general, predict an increase in the entire conditional distribution of crash risk, with the strongest impact associated over the normal (median) to moderately high (upper quantiles) levels of risk. Despite the emergence of cryptocurrencies in international transactions and as an investment vehicle, our results suggest that decentralized mining process can contribute to inefficiencies in the pricing of Bitcoin, putting further doubt into the role of these assets as a medium of exchange, alternative to conventional assets.
In a rapidly digitalizing world, identity verification has become the cornerstone of secure online interaction. Traditional authentication models, which depend on centralized authorities and password-based systems, are increasingly vulnerable to breaches, identity theft, and data manipulation. Blockchain-backed identity systems offer a promising alternative by decentralizing trust, ensuring immutability, and empowering users with self-sovereign control over their credentials. This review explores how blockchain technology enhances authentication reliability through decentralization, cryptographic assurance, and automation. The paper first examines the fundamentals of blockchain-based identity management, including decentralized identifiers (DIDs), verifiable credentials (VCs), and smart contracts that automate credential verification and revocation. It then presents the architectural components of blockchain identity systems, highlighting how cryptographic hashing, distributed consensus, and off-chain storage combine to create secure yet compliant authentication workflows. The analysis demonstrates that blockchain-backed identity frameworks significantly improve authentication reliability by removing single points of failure, enhancing data integrity, and enabling privacy-preserving verification through mechanisms like zero-knowledge proofs. Comparative evaluation with traditional systems reveals that blockchain ensures superior resilience, transparency, and user control, albeit with challenges in scalability, interoperability, and key management.
Abdul Razaque, Saule Amanzholova, Galimkair Mutanov, Olga Ussatova · 8 authors
This article focuses on developing an anti-corruption system for certifying students’ academic achievements in Kazakhstani higher education institutions by utilizing blockchain and artificial intelligence AI technologies. We specifically propose the Academic Integrity Verification System (AIVS), a revolutionary system that combines blockchain’s tamper-proof storage with AI’s anomaly detection capabilities. The system reduces major risks in traditional academic record management while ensuring transparency, precision, and proactive fraud detection. The simulation was conducted at the International Information Technology University (IITU) using Ethereum-based blockchain and AI models. In simulated testnet experiments, AIVS achieved an 85% reduction in verification time compared to traditional processes and delivered a 95% overall model accuracy in record validation. These results demonstrate the potential of blockchain and AI integration for improving efficiency and integrity in academic verification workflows. These findings demonstrate that our proposed AIVS enhances academic transparency, reduces corruption, and provides a scalable framework for secure academic record management. The proposed strategy marks a significant step forward in the governance of digital education in Kazakhstan and abroad.
Federated learning (FL) enables collaborative model training across edge devices without centralizing raw data, but existing frameworks remain ill-equipped to support data privacy regulations mandated by GDPR, HIPAA, and CCPA. Once user data has influenced training, its verifiable removal becomes prohibitively expensive, particularly in non-IID and resource-constrained edge environments. This paper introduces a modular and scalable federated unlearning framework that unifies three complementary strategies: gradient subtraction, knowledge distillation, and checkpoint rollback, within an adaptive decision layer. A resource-aware checkpoint manager reduces storage costs through compression and pruning, while a privacy and trust layer integrates zero-knowledge proofs, differential privacy, and Merkle-based audit logs to provide verifiable guarantees of deletion. A non-IID-aware aggregator further preserves fairness across heterogeneous clients. Unlike prior approaches, our proposed framework systematically integrates rollback efficiency with formal privacy protections and auditability, offering a practical path toward trustworthy and regulation-compliant unlearning in domains such as healthcare, transportation, and smart agriculture.
The global REDD+ framework designed to curb greenhouse gas emissions by reducing deforestation and forest degradation has become a central pillar of international climate mitigation efforts, particularly in tropical forest nations such as Indonesia. Despite its significant potential, the implementation of REDD+ in Indonesia continues to encounter systemic barriers that undermine its effectiveness. Key challenges include fragmented and weak governance systems, inconsistent and unpredictable financial support, unresolved land tenure arrangements, and the persistent exclusion of indigenous and local communities from meaningful participation in forest management. These structural limitations diminish the capacity of REDD+ to generate measurable and sustained climate benefits. This study provides an in depth examination of the institutional, socio-political, and economic obstacles that constrain REDD+ performance in Indonesia. It argues that the current project oriented and carbon-accounting–driven model must evolve into a more integrated governance architecture that aligns environmental conservation with livelihood security and equitable resource distribution. To strengthen REDD+ outcomes, the research advances several policy innovations, including the decentralization of forest governance, diversification of long-term financing pathways, recognition and protection of customary land rights, and systematic incorporation of local ecological knowledge. Enhanced monitoring, reporting, and verification (MRV) systems are also highlighted as essential for ensuring transparency and accountability. Insights from case studies in Central Kalimantan and West Papua further demonstrate that the durability of REDD+ initiatives hinges on community empowerment, clear land tenure arrangements, and reliable funding mechanisms. Together, these findings emphasize the urgent need to redesign REDD+ governance in Indonesia to ensure it functions not only as a climate mitigation instrument but also as a socially just and economically viable conservation strategy.
Open access
Conservation, Biodiversity, and Resource Management
In the context of Industry 4.0, industrial firms are encountering new challenges related to data management, flow traceability, security and process transparency. Blockchain, as a distributed ledger technology, offers innovative solutions to meet these challenges. This study proposes a systematic literature review (SLR) on the recent contributions of blockchain in industrial environments. A total of 20 scientific articles, published over the last ten years, were analyzed to better understand how this technology is being integrated into production processes and supply chains. The analysis identified four major areas in which blockchain is being mobilized: traceability of production processes, transparency of supply chains, integration into digital industrial systems, and its role in decision support. The results show that blockchain enables reliable, real-time monitoring of industrial operations, particularly when coupled with technologies such as IoT, smart contracts or event-driven databases. It also promotes better coordination between players, reinforces trust, and facilitates audits in complex or multi-actor environments. However, despite its potential, several limitations remain. Barriers related to scalability, implementation costs, system interoperability and the integration of manual tasks still limit its widespread adoption. Furthermore, in many cases, blockchain is treated as a secondary technology, reducing the depth of analysis available. This review offers a structured vision of the contributions and limitations of blockchain in industry while identifying future research prospects, particularly around hybrid models and concrete implementation cases.
Background: Yemen is facing one of the most severe energy crises in the world, exacerbated by decades of conflict. In this context, sustainable energy solutions, particularly renewable energy technologies, have emerged as a critical pathway to addressing Yemen’s energy deficit while reducing environmental impact. The country possesses significant potential for renewable energy exploitation, especially solar and wind resources, due to its geographic location and climatic conditions. Scholars, policymakers, and development agencies have examined the challenges and opportunities facing Yemen's transition to a sustainable energy future. Objectives: This review paper aims to synthesize current knowledge on sustainable energy development in Yemen, exploring the potential of solar, wind, and other renewable resources, evaluating ongoing projects and policies, and identifying barriers and opportunities for future growth. By providing a comprehensive overview, this paper seeks to contribute to the understanding of how sustainable energy can support Yemen's recovery, economic development, and long-term resilience. Methods: The current review have been studied and analysed key studies and technical reports from 2010 to 2025, including contributions from the United Nations Development Programme (UNDP), the International Renewable Energy Agency (IRENA), the World Bank, and regional academic institutions. The analysis categorizes existing literature into five thematic areas: (i) renewable energy potential assessment, (ii) energy policy and governance, (iii) investment and financing mechanisms, (iv) environmental and social impacts, and (v) capacity development and institutional strengthening. Results: Recent policy reforms, scheduled for 2024, aim to establish the Authority for Renewable Energy and Energy Efficiency. The evolution of renewable energy policy in Yemen from 2010 to 2024 shows steady growth. Financing is a key challenge in Yemen's renewable energy transformation, although limited access to international financing, coupled with political risks, has limited private sector engagement. Renewable energy brings numerous environmental and social benefits to Yemen. Research shows that solar microgrids increase household incomes by 15 – 20%. Environmental goals include reducing CO2 emissions by 40% by 2050, increasing green space, and ensuring sustainable land-use planning for solar and wind farms. Furthermore, regional comparative studies show that the cost of solar photovoltaic (PV) systems in Yemen is competitive with fossil fuel-based generation, especially when long-term maintenance and fuel import costs are taken into account. Overall, Yemen's renewable energy potential is quite promising, with solar energy leading the way due to its volume, cost-effectiveness, and ease of deployment. Wind, biomass, and geothermal resources offer additional opportunities that can diversify Yemen's energy mix, increase resilience, and promote sustainable development. Conclusion: Ambitious targets have been set to diversify Yemen's energy mix and improve efficiency, including a 15% share of renewable energy by 2025, rural solar electrification, and improved energy sector efficiency. However, achieving success in this area still requires concessional and blended financing to reduce investment risks, the promotion of modular and decentralized deployment models (mini-grids, rooftop solar panels), and the integration of renewable energy expansion into resilience and recovery planning.
There is a large amount of redundant data among users of cloud storage services. Client-side deduplication helps reduce the cost for service providers by avoiding repeated uploads and storage. However, this technique brings new security risks. Malicious users may use illegally obtained deduplication tags, such as file fingerprints, to fake ownership of other users’ files. Proof of Ownership (PoW) can require users to prove they have the full file, but existing methods are inefficient. They often need multiple rounds of interaction or complex computation over the whole file. As a result, the verification time increases with file size. To solve this problem, we propose a non-interactive PoW scheme based on zk-STARK. The system selects a number of challenge blocks that meet cryptographic security. It uses arithmetic circuits to encode block selection, hash computation, and the correctness of accumulators. Users only need to generate a zero-knowledge proof on these blocks. This allows them to prove they own the full file without revealing its content. The verification time does not depend on file size and appears near-constant in practice. In tests on files from 64 MB to 1 GB, our scheme is 1.2 to 46 times faster than existing methods. Security analysis shows that only a small number of blocks need to be verified. Even if an attacker knows 90% of the file, the chance of forgery is still lower than 2 − 80 . This scheme provides an efficient and practical solution for deduplication in cloud storage with strong privacy protection.
This study offers an in-depth examination of the transformative influence of cryptocurrencies on global economic and financial systems, emphasizing their interplay with financial inclusion, regulatory evolution, and decentralized economic frameworks. Employing a mixed methods design that combines quantitative regression modeling with qualitative analysis, the research uncovers new insights into cryptocurrency adoption, particularly within emerging economies and financially marginalized populations. Unlike previous studies that focus primarily on technological or speculative dimensions, this paper critically investigates cryptocurrencies as both catalysts for financial democratization and potential sources of systemic risk. It develops a balanced framework for understanding how decentralized finance (DeFi) can coexist with regulatory oversight, proposing evidence-based policy recommendations that promote innovation while safeguarding market integrity and consumer protection. Empirical findings demonstrate that cryptocurrencies facilitate broader access to financial services due to their decentralized structure and cost-efficient transactions. However, they also expose users to challenges such as extreme price volatility, cybersecurity risks, and inconsistent regulatory environments. Moreover, socio-economic analysis reveals that individuals with prior exposure to cryptocurrencies exhibit more favorable perceptions of their societal and economic impact. The research concludes that sustainable cryptocurrency integration requires adaptive regulatory models, cross-border collaboration, and continuous monitoring of technological evolution. Future studies should expand on longitudinal and comparative analyses to evaluate how evolving governance and education strategies influence adoption and trust. By situating cryptocurrencies within the broader discourse of digital transformation and economic sustainability, this paper contributes to shaping policy and industry practices that support an inclusive, resilient, and transparent financial ecosystem.
Cloud computing has emerged as the dominant platform for contemporary data management and service provision. However, its centralized nature poses significant risks to security, privacy, and trust. Distributed systems can enhance data integrity and auditability by incorporating blockchain technology, which offers a decentralized and tamper-resistant approach. Nevertheless, the inherent transparency of blockchain conflicts with the confidentiality requirements of cloud environments. This review paper analyzes existing studies on privacy-preserving blockchain architectures designed to secure cloud-based information systems. A systematic literature review methodology was adopted, examining forty-eight peer-reviewed studies published between 2018 and 2024. The findings reveal that researchers have explored approaches such as encryption, zero-knowledge proofs, homomorphic encryption, and hybrid on/off-chain models to balance transparency and privacy. Scalability, interoperability, and regulatory compliance remain key challenges, particularly in permissioned blockchains, which nevertheless offer advantages in governance and compliance. The study identifies research gaps and future directions, including the development of common privacy frameworks, integration of confidential computing, and establishment of standardized evaluation metrics. Overall, privacy-sensitive blockchain architectures hold strong potential for creating trustworthy and secure cloud systems.
Zhi-Yong Liang, Gaoyuan Liu, Ren Yi, Ming Yang · 7 authors
With the accelerated development of the global digital economy, data spaces have become a crucial infrastructure for cross-domain data circulation and value creation. However, cross-organizational and cross-regional data sharing still faces several challenges, including insufficient trust, fragmented governance, and inconsistent standards. Against this backdrop, blockchain technology, with its decentralized, traceable, and tamper-resistant characteristics, offers new avenues for building collaborative trust mechanisms within trustworthy data spaces. This paper systematically reviews the current research on trustworthy data spaces, the blockchain, zero-knowledge proofs, and federated learning. It proposes a technology-governance-standardization (TGS) framework for cross-border governance. To verify the framework, we proposed a collaborative trust mechanism combining “on-chain light attest, off-chain deep store, and cross-layer verifiable bridge” (LPHS–XV), which achieves data availability without visibility and compliance auditability. A prototype was then validated in the cross-border medical data space at the Macao-Hengqin Station, providing a scalable experience for global data governance.
The increasing demand for real-time decision analytics in modern enterprises has accelerated the development of edge-to-cloud data pipelines, which integrate distributed computing resources to enable instantaneous insights. Traditional centralized cloud architectures struggle with latency and bandwidth limitations, making them unsuitable for applications requiring immediate decision-making. Edge-to-cloud pipelines overcome these barriers by combining localized data processing with cloud-based intelligence, creating a continuous, adaptive flow of analytical information. This review examines the architectural principles, technological enablers, and analytical impacts of edge-to-cloud data pipelines on real-time decision-making. It explores how distributed processing, stream analytics, and AI-driven orchestration enhance responsiveness, reliability, and scalability across diverse environments. Technologies such as 5G, machine learning, and containerized orchestration platforms are discussed as key drivers of this transformation. The study also identifies challenges including data synchronization, security, interoperability, and energy efficiency at the edge. Addressing these issues is essential for realizing seamless, end-to-end analytics across hybrid ecosystems. Future directions highlight the potential of autonomous, decentralized, and quantum-enhanced data pipelines to deliver self-optimizing intelligence at global scale.Ultimately, this review concludes that edge-to-cloud data pipelines are foundational to achieving context-aware, predictive, and autonomous analytics, enabling organizations to transition from reactive operations to real-time, intelligent decision ecosystems.
Public companies and institutional investors that hold Bitcoin face increasing pressure to show solvency, manage risk, and satisfy regulatory expectations without exposing internal wallet structures or trading strategies. This paper introduces the Treasury Proof Ledger (TPL), a Bitcoin-anchored logging framework for multi-domain Bitcoin treasuries that treats on-chain and off-chain exposures as a conserved state machine with an explicit fee sink. A TPL instance records proof-of-reserves snapshots, proof-of-transit receipts for movements between domains, and policy metadata, and it supports restricted views based on stakeholder permissions. We define an idealised TPL model, represent Bitcoin treasuries as multi-domain exposure vectors, and give deployment-level security notions including exposure soundness, policy completeness, non-equivocation, and privacy-compatible policy views. We then outline how practical, restricted forms of these guarantees can be achieved by combining standard proof-of-reserves and proof-of-transit techniques with hash-based commitments anchored on Bitcoin. The results are existence-type statements: they show which guarantees are achievable once economic and governance assumptions are set, without claiming that any current system already provides them. A stylised corporate-treasury example illustrates how TPL could support responsible transparency policies and future cross-institution checks consistent with Bitcoin's fixed monetary supply.
Cross-chain technology enables interoperability among otherwise isolated blockchains, supporting interactions across heterogeneous networks. Similar to how multi-hop communication became fundamental in the evolution of the Internet, the demand for multi-hop cross-chain interactions is gaining increasing attention. However, this growing demand introduces new security and privacy challenges. On the security side, multi-hop interactions depend on the availability of multiple participating nodes. If any node becomes temporarily offline during execution, the protocol may fail to complete correctly, leading to settlement failure or fund loss. On the privacy side, the need for on-chain transparency to validate intermediate states may unintentionally leak linkable information, compromising the unlinkability of user interactions. In this paper, we propose the Cross-Chain Channel Network (CCN), a decentralized network designed to support secure and privacy-preserving multi-hop cross-chain transactions. Through experimental evaluation, we identify two critical types of offline failures, referred to as active and passive offline cases, which have not been adequately addressed by existing solutions. To mitigate these issues, we introduce R-HTLC, a core protocol within CCN. R-HTLC incorporates an hourglass mechanism and a multi-path refund strategy to ensure settlement correctness even when some nodes go offline during execution. Importantly, CCN addresses not only the correctness under offline conditions but also maintains unlinkability in such adversarial settings. To overcome this, CCN leverages zero-knowledge proofs and off-chain coordination, ensuring that interaction relationships remain indistinguishable even when certain nodes are temporarily offline.