The development of madrasahs and Islamic boarding schools in Indonesia has increasingly required policy approaches capable of balancing educational modernization with the preservation of Islamic traditions. However, limited studies have examined this development from the perspective of Charles E. Lindblom's incrementalism theory. This study aimed to analyze how incremental policy characterizes the contemporary development of madrasahs and Islamic boarding schools and to identify the factors influencing the incremental policy process within these Islamic educational institutions. The research employed a qualitative library research design using official government policy documents, scholarly books, peer-reviewed journal articles, and other relevant academic publications as primary data sources. Data were analyzed through qualitative content analysis involving data reduction, thematic categorization, interpretation, and source triangulation. The findings reveal that the development of madrasahs and Islamic boarding schools consistently follows an incremental policy trajectory characterized by gradual improvements in educational regulations, curriculum and learning systems, teacher professional development, institutional governance, and educational financing. The study also demonstrates that institutional leadership, organizational capacity, government support, educational decentralization, socio-cultural values, political commitment, bureaucratic coordination, digital transformation, and globalization collectively influence the continuity of incremental policy development. These findings confirm the continued relevance of Lindblom's incrementalism theory in explaining policy change within Islamic education and suggest that gradual policy adaptation provides an effective mechanism for maintaining institutional stability while encouraging sustainable educational innovation. The study contributes to both public policy and Islamic education literature by offering a comprehensive conceptual understanding of incremental policy development in contemporary Islamic educational institutions.
As of 2024, 730 million people worldwide lacked electricity access, roughly eight in ten of them in sub-Saharan Africa. Closing this gap requires engineering approaches suited to the technical, financial, and institutional constraints of low-resource settings, not conventional grid extension alone. This paper reviews four engineering pathways expanding renewable energy access in developing countries — decentralized mini-grids, IoT-enabled pay-as-you-go (PAYG) solar financing, frugal engineering, and AI-assisted smart-grid digitalization — using case evidence from Kenya, India, and East Africa's PAYG sector.
The construction industry is undergoing a significant transformation with the adoption of decentralized models, which leverage distributed decision-making, collaborative networks, and advanced technologies such as blockchain, digital twins, and artificial intelligence (AI). These innovations promise enhanced transparency, efficiency, and stakeholder engagement in high- rise building projects. However, decentralization introduces unique risks—spanning technical, social, economic, legal, and environmental domains—that challenge traditional risk management frameworks. This research systematically identifies and categorizes these risks, emphasizing their implications for decentralized high-rise construction. Key technical risks include design clashes and quality inconsistencies due to fragmented workflows, while social risks encompass labor disputes and community opposition. Economic risks arise from budget fragmentation and supply chain volatility, legal risks stem from contractual ambiguities and regulatory non- compliance, and environmental risks involve waste mismanagement and increased carbon footprints. To address these challenges, the study proposes a comprehensive risk management framework integrating emerging technologies. For instance, Building Information Modeling (BIM) and digital twins enable real-time clash detection and quality assurance, blockchain ensures transparent and automated contract execution, and AI-driven analytics predict safety hazards and cost overruns. The framework is validated through a case study of Skyline Towers in Dubai, where decentralized strategies reduced design errors by 45% and payment delays by 80%. The research employs a mixed-methods approach, combining a systematic literature review with empirical analysis of real-world projects. Findings highlight the critical role of stakeholder alignment, hybrid governance models, and sustainable practices in mitigating risks. The study concludes with actionable recommendations for policymakers and industry practitioners, advocating for standardized digital protocols, adaptive risk governance, and proactive environmental controls. By bridging the gap between technological innovation and risk management, this research contributes a forward-looking framework to enhance resilience and efficiency in decentralized high-rise construction, ensuring sustainable urban development in an increasingly complex industry landscape.
This chapter examines mangrove governance as a pathway for bridging policy and practice in climate resilience. It explores national and local structures, highlighting strengths and weaknesses in policies, decentralization challenges, and institutional fragmentation. Case studies from Bangladesh, Indonesia, Kenya, and the Philippines illustrate diverse approaches, from disaster risk reduction and large-scale restoration to community stewardship and carbon finance. Persistent barriers include conflicts between development and conservation, weak enforcement, equity gaps, and political-economic complexities. Future directions emphasize resilient governance systems, multi-level and transboundary cooperation, scaling community-based models, and embedding mangroves into sustainability agendas. Governance is reaffirmed as the cornerstone of sustainable mangrove management, requiring adaptive, inclusive, and collaborative frameworks to ensure ecological resilience and social equity.
G. N. Girish, Ashutosh Sahoo, Ajay Bhat, Akshay SP · 7 authors
Incentive programs are central to user acquisition in decentralized finance, but many reward systems rely on raw volume, transaction count, and wallet count, making them vulnerable to bots and sybil operations. We present ZAPs, a reward attribution framework that combines economic contribution scoring with adversarial robustness. A composite activity score uses protocol-specific percentile normalization to limit whale dominance while preserving differentiation among users. A two-layer weighting mechanism combines protocol share within sector and sector share within the ecosystem, which reduces the profitability of farming small protocols. We show that the maximum reward obtainable from any protocol is bounded by that protocol's global volume share. ZAPs also introduces a four-layer defense stack consisting of transaction-level integrity checks, a parallel anomaly ensemble, post-distribution behavioral memory, and graph-based sybil clustering. The anomaly ensemble combines a one-class reconstruction model with an isolation forest and applies graduated rather than binary penalties. On 1,073 labeled malicious wallets covering 124,638 transactions, the ensemble achieves 0.923 +/- 0.013 ROC-AUC, compared with 0.891 +/- 0.016 for the reconstruction model alone, when the isolation forest is trained on benign wallets. Training it on the pooled population reverses its polarity and removes the ensemble gain. Controlled simulations reduce adversarial reward capture by 30-90 percent while legitimate-user scenarios change by 1-8 percent. Live campaigns recorded a 56 percent reduction in sybil allocation, a 49 percent increase in quality-wallet participation, and a 50 percent reduction in sell pressure.
This paper analyzes the institutional constraints on the effective implementation of the LEADER/Community-Led Local Development (CLLD) approach in Bulgaria and proposes a concrete institutional model for overcoming them. The study proceeds from the premise that the approach holds substantial potential as a territorially oriented instrument for local development, but that its effectiveness is limited by a structural contradiction between the decentralized conceptual logic of LEADER/CLLD and the centralized institutional framework of its national implementation in Bulgaria. The analysis shows that the current distribution of functions between the Ministry of Agriculture and Food, as Managing Authority, and the State Fund “Agriculture” – Paying Agency creates a structural asymmetry, whose measurable consequences are systemic delays in contracting and disbursing project funds, limited procedural flexibility, and insufficient specialized administrative capacity. As an institutional response to these deficits, the paper proposes the creation of a specialized executive agency under the Rural Development Programme, with functions covering the administrative management of projects, methodological support for Local Action Groups (LAGs), monitoring and evaluation, and coordination of multi-fund financing. Two options for the institutional positioning of the agency are examined — as an independent structure under the Ministry, or as a specialized unit within the existing administration — and these are compared with established European practices (Austria, Germany, Ireland). The study concludes that overcoming the structural contradiction requires not a change in the conceptual philosophy of the approach, but a targeted institutional reconfiguration aimed at increasing the autonomy of Local Action Groups.
Victor Michelle, Natalie Michelle, Emilie Michelle, Elias Michelle
This paper introduces Prediction Assets — a fundamentally new class of financial instruments where the underlying asset is market consensus on probability itself. Unlike traditional prediction markets, where binary event contracts terminate abruptly upon resolution, Prediction Assets are engineered as perpetual financial instruments that evolve rather than expire. Upon event occurrence, the asset does not liquidate to zero or a fixed payout; instead, it programmatically transforms into a new functional asset form (such as a currency, index, or memory asset) via smart-contract-enforced conversion ratios, establishing an infinite lifecycle and continuous capital efficiency. Key Structural & Mathematical Contributions: Core Asset Pricing Model: Establishes the foundational pricing equation \(P_{asset} = P(E) \times M\) driven entirely by open order-book decentralized exchange (DEX/AMM) spot liquidity without reliance on subjective analytical oracles. Systemic Market Efficiency: Implements an exact arbitrage condition boundary constraint (\(\sum P_{asset,i} = M\)) to incentivize algorithmic market-making and eradicate structural price variance. Programmatic Post-Event Evolution: Introduces the deterministic conversion coefficient \(C(t, state)\) locked at genesis to handle automated migration profiles (Currency, Index, Memory, and Derivative states) with zero administrative discretion. Decentralized Governance: Outlines a 4-channel Multi-Chain Consensus Verification Layer (CVL) requiring a strict 3-of-4 quorum across official APIs, open-source replicas, academic mirrors, and market sentiment vectors. Regulatory Engineering: Delivers a comprehensive compliance analysis under the U.S. Securities Framework (Howey Test and Reves Test boundaries) and CFTC Event Contract frameworks, positioning the topology as a non-security utility asset. Prospective Implementation:The paper presents AIVA (Artificial Intelligence Valuation Asset) as the world's first prospective implementation tracking the global macro-consensus probability of achieving Artificial General Intelligence (AGI), which programmatically transforms into an operational settlement currency for autonomous multi-agent economic environments upon verification. Keywords: Prediction Assets, Probability Markets, Financial Instruments, AGI, AI Agents, Decentralized Finance, Synthetic Assets, Valuation Markets. Citation Note: This specification expands upon the sovereign fintech frameworks established in IP Stock Exchange v3.3-Evolution (DOI: 10.5281/zenodo.20687136).
Against the backdrop of rapid technological innovation and the growing use of alternative investment instruments, this study examines the dynamic connectedness among decentralized finance assets, AI-based stocks, Islamic stocks and commodities. Covering the period from December 2019 to June 2022, we use the time-varying parameter vector autoregression (TVP-VAR) model to measure the magnitude, direction and evolution of return spillovers across Chainlink, Maker, Basic Attention Token, NVIDIA, Amazon, Google, Microsoft, DJIM World, DJIM EM, gold, crude oil and Global X Lithium and Battery Tech. The connectedness literature has examined spillovers across different asset classes during crisis periods. However, much of this literature focuses mainly on pairwise relationships among traditional asset classes, with limited attention to how emerging, alternative and technology-driven assets interact within a single network. We further assess the role of investor sentiment and network topology in identifying systemic transmitters and receivers. The results show strong interconnectedness, with an average total connectedness index (TCI) of 68.81%. Notably, AI-based stocks, especially Microsoft and NVIDIA, consistently emerge as net transmitters of return shocks, while commodities like gold and crude oil serve as absorbers of shocks. The portfolio results show that network centrality improves risk-adjusted performance by reducing volatility and downside risk. These insights have practical implications for policymakers and market participants, offering guidance for developing effective regulatory frameworks, investment strategies and risk management approaches in an increasingly interconnected financial landscape.
Niko Silitonga, Harya Widiputra, Fangky Antoneus Sorongan
Fiscal decentralization has been widely implemented to improve regional fiscal efficiency and strengthen local fiscal capacity. However, empirical evidence regarding its effectiveness remains inconclusive, particularly in developing countries with diverse institutional capacities. This study examines the associations between regional fiscal policy instruments and provincial fiscal performance in Indonesia, proxied by the growth of Locally Generated Revenue (PAD), while investigating the moderating role of fiscal decentralization. Unlike previous studies that examine fiscal instruments separately or focus mainly on macroeconomic outcomes, this research develops an integrated framework that evaluates financing allocation, development expenditure, transfer funds, and other legitimate revenues within a moderated panel-data model. Using panel data from 33 provincial governments during 2017–2024, the study applies a fixed-effects regression model with interaction terms. The results show that development expenditure is positively and significantly associated with provincial fiscal performance, indicating that productive public spending strengthens regional fiscal capacity. In contrast, financing allocation and transfer funds show no significant direct associations with fiscal performance. Other legitimate revenues demonstrate a positive but limited association. Fiscal decentralization plays a dual moderating role by strengthening the association between transfer funds and fiscal performance while weakening the effects of development expenditure and other legitimate revenues. These findings suggest that the effectiveness of fiscal decentralization depends on fiscal instruments and local institutional capacity rather than producing uniform outcomes. This study contributes to the fiscal decentralization literature by providing an interaction-based empirical framework and practical evidence to support more effective decentralization policies and improve provincial fiscal performance in Indonesia.
Introduction: Blockchain technology has emerged as a transformative innovation in the financial sector by enhancing transparency, security, and operational efficiency. As academic interest in blockchain applications continues to grow, understanding the development, structure, and direction of research in this field has become increasingly important. Novelty: Although previous studies have examined blockchain broadly, limited research has specifically mapped the intellectual structure, thematic evolution, and collaboration patterns of blockchain research in finance, particularly regarding transparency and security. To address this gap, the present study provides a comprehensive bibliometric mapping of blockchain research in finance from the perspectives of transparency and security. Methods: This study applies a bibliometric analysis approach to 256 Scopus-indexed publications related to blockchain in finance. Data were analyzed using the Bibliometrix package in R to examine annual scientific production, keyword co-occurrence, thematic development, historiographic structure, and collaboration networks among authors, institutions, and countries. Results: The findings reveal a significant increase in blockchain-related publications, particularly after 2021, indicating growing scholarly attention. Major research themes include blockchain foundations, security and privacy, decentralized finance, regulation, and cross-sector applications. The analysis also demonstrates increasingly interconnected global collaboration networks led by several productive countries. Conclusion: Overall, the findings indicate that blockchain has become an increasingly prominent research domain within financial studies. This study contributes by providing a comprehensive mapping of research trends and offering insights for future studies and policy development related to transparency and security in digital financial systems.
While decentralized fintech platforms (DFPs) are a viable alternative to traditional financial systems, their widespread adoption is hindered by cybersecurity concerns. This study investigates the factors shaping user intentions to adopt DFPs amid these perceived cyber risks. Situated within the global challenge of financing the Sustainable Development Goals (SDGs), this research explores DFP adoption as a potential mechanism for enhancing financial inclusion (SDG 10), fostering innovation in financial infrastructure (SDG 9), and promoting inclusive economic growth (SDG 8). Using a hybrid model that merges the technology acceptance model with trust theory, we surveyed 554 business and engineering students across five Indian metropolitan hubs a demographic representing a tech-forward segment of Gen Z poised to be early adopters. Structural equation modelling reveals that while fintech literacy and risk tolerance are significant preconditions, adoption intention is most powerfully predicted by social influence (β = 0.271, p < 0.001) and perceived security in the underlying technology (β = 0.186, p < 0.000). This suggests that for these vanguard users, the decision to adopt is driven more by social validation and technological faith than by individual technical competency. Furthermore, trust moderates the relationship between fintech literacy, perceived security and risk tolerance on the intent to adopt. The paper contributes a comprehensive framework that clarifies users’ adoption motives, aiding researchers who study DFP user behavior in developing nations. The findings provide a critical roadmap for policymakers, developers, and international development agencies aiming to harness digital finance for the 2030 Agenda, demonstrating that building trusted, community-driven ecosystems is paramount to realizing the developmental potential of decentralized technologies.
The long and distinguished history of the Wikimedia ecosystem has provided valuable insights and lessons learned regarding the dispute over control of knowledge on the web. This activity aims to contribute to the point: “Pilot experiments in decentralized decision-making” of the Wikimedia Foundation's Annual Plan, bringing to the public community discussion table practical and real use cases in which, beyond the purely speculative and financial aspects of the blockchain ecosystem, Web3 can offer highly efficient tools to promote and guarantee knowledge equity. In this space, the functioning of some Web3 tools for decentralized governance will be presented in a practical way, establishing parallels with existing mechanisms in the Wikimedia ecosystem, such as MetaWiki SecurePoll, RFCs, Community Voting, and the Board of Trustees.
The Financial Technology (FinTech) ecosystem has become a disruptive one which changed the face of the financial services industry with digital technology, innovative business models and new regulatory framework. The development, distribution and use of financial products and services have been revolutionized by technologies like artificial intelligence, blockchain, cloud, big data analytics, Internet of Things and open banking. This review paper aims to integrate and consolidate the available literature to gain an overview of the development of FinTech from Finance 1.0 to Finance 4.0, and their technological innovations as the backbone of the modern financial systems. It also explores some of the key FinTech business models like digital payments, digital lending, WealthTech, InsurTech and embedded finance, and the essential role of relevant government policies, digital public infrastructure and governance for responsible FinTech innovation. The paper also identifies relevant challenges in the fields of cybersecurity, data privacy, ethics in artificial intelligence, regulatory complexity and digital inclusion that remain to significantly impact the sustainable development of the FinTech ecosystem. Last but not least, new research opportunities are identified in the field of generative artificial intelligence, decentralized finance, green FinTech, and digital financial governance to be pursued by academia in the future. The multidisciplinary perspective employed in this review gives a comprehensive picture of the current developments in FinTech and can help researchers, practitioners and policymakers to understand the opportunities and risks associated with digital financial transformation.
Abstract Coral reefs across the Coral Triangle are experiencing unprecedented thermal stress, and the window for effective local mitigation of bleaching events is often measured in days, not months. Yet the standard reef-monitoring pipeline — collecting benthic imagery via divers or remotely operated vehicles (ROVs) and manually annotating it for signs of bleaching — routinely takes weeks to complete, a delay we term the manual-annotation bottleneck. This paper presents CoralEye, a decentralized, edge-optimized computer vision framework that diagnoses coral health in real time and is designed to eventually run entirely offline on consumer-grade hardware. CoralEye uses an optimized MobileNetV2 architecture, quantized to INT8 for edge deployment, trained on a curated subset of the Benthic Habitat Data (BHD) dataset to classify reef imagery into a three-class triage system — Healthy, Bleached, and Dead. On a held-out test set of 636 images, the framework achieved an overall accuracy of 97% (weighted-average precision 0.98, recall 0.97, F1-score 0.97) while processing underwater imagery at an average latency of 177 milliseconds per frame (∼5.6 FPS), benchmarked in a Google Colab CPU-only cloud runtime as a proxy for offline, GPU-free edge hardware. Relative to established manual annotation workflows such as Coral Point Count (CPCe), this proxy benchmark suggests a reduction in per-image processing time of over 99%, though this comparison has not yet been validated on a physical field device. We argue that this combination of accuracy and CPU-only efficiency is a promising step toward a shift in marine conservation technology from post-mortem documentation toward real-time, actionable diagnostics — particularly for under-resourced reef managers in bandwidth-constrained coastal communities, pending further validation on physical field hardware.
This CERN-style open-science briefing presents Version 3.0 of the Pure-Milk Green Finance Matrix, an integrated agritech framework designed to resolve the global tension between intensive dairy production and freshwater protection. Building on earlier versions, it introduces a four-stage on-farm water treatment architecture combining biomimetic hydrodynamic shearing, advanced materials, opto-acoustic cleaning, and magnetic water conditioning. The system captures nitrates and nutrients at the farm gate, recirculates them into decentralized aeroponic forage production, reduces enteric methane, and delivers purified water to livestock while eliminating chemical cleaning and frequent filter replacement. Powered by multi-source environmental energy harvesting (solar, thermoelectric, and triboelectric), the framework transforms environmental compliance from a cost burden into a high-yield, closed-loop asset class. It aims to protect New Zealand’s $28+ billion dairy export engine, eliminate multi-billion-dollar water cleanup liabilities, and position the country as an exporter of regenerative agritech intellectual property. DOI: 10.5281/zenodo.21587166 Keywords Pure-Milk Green Finance Matrix Agritech Singularity Regenerative dairy farming On-farm nitrate capture Closed-loop nutrient cycling Biomimetic water filtration Aeroponic forage systems Methane reduction Sustainable intensification New Zealand dairy Green finance Water-energy-food nexus Zero-waste agriculture Carbon and nutrient recovery Precision agritech
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Phosphorus and nutrient management
Agriculture Sustainability and Environmental Impact
Purpose This study aims to examine whether fiscal autonomy improves capital expenditure efficiency in decentralized systems by addressing the overlooked possibility that its effects are nonlinear and context-dependent. Focusing on Ghana’s 261 Metropolitan, Municipal and District Assemblies (MMDAs), the study investigates whether fiscal autonomy enhances efficiency uniformly or only beyond certain institutional thresholds. Design/methodology/approach This study uses a balanced panel data set from 2018 to 2024 to detect continuous nonlinear and regime-specific effects using fixed-effects estimation with a quadratic specification and threshold-based robustness analysis. The data were obtained from Ghana Audit Service-certified financial reports and Ghana Statistical Service demographic indicators. Findings Fiscal autonomy is associated with a U-shaped relationship with capital expenditure efficiency, although the nonlinear effect is modest and only weakly statistically supported. At low levels of autonomy, increases in internally generated funds are associated with lower capital expenditure shares, while beyond an estimated threshold of approximately 37% of total revenue, the relationship becomes positive. Intergovernmental transfers complement local fiscal capacity, whereas population density and urban classification are not significant predictors in the regression models. Practical implications The findings indicate gradual capacity-sensitive decentralization strategies. Enhanced fiscal autonomy in the absence of institutional development may reduce expenditure efficiency. Policymakers should prioritize administrative capacity, revenue systems and accountability before increasing budgetary discretion. Originality/value This study provides panel-based evidence consistent with a U-shaped fiscal autonomy–efficiency relationship in African local governments. By highlighting threshold effects and institutional conditioning, it advances fiscal decentralization research and contributes to the application of nonlinear modeling in public finance.
Why do local elected representatives facing similar institutional constraints choose different strategies? This dissertation develops a theory of strategy choice under incomplete decentralization, where municipal councilors remain electorally accountable but depend on bureaucratic and higher-level political actors for implementation, finance, and approval. Administrative, fiscal, and political constraints define the institutional setting, while leverage, the capacity to induce response, and cover, protection from sanction, capture councilors’ unequal positions within it. Drawing on more than 450 interviews, 67 municipal council meeting transcripts, and an original survey of 506 current and former councilors in urban India, I distinguish collaborative strategies based on coordination and follow-up from combative strategies based on public pressure and cost-imposition. Collaboration overwhelmingly dominates. Perceived bureaucratic discretion is the strongest correlate of movement toward combativeness, while leverage and cover do not reliably predict the binary shift between strategies. Instead, leverage more clearly distinguishes procedural from discretionary forms of collaboration. These findings show that incomplete decentralization does not eliminate local representation. It channels representation through continued dependence on actors councilors do not command and shifts attention from whether councilors collaborate to how they collaborate and when they escalate.
Part 2: Enhanced Pure-Milk Green Finance Matrix – Toward Net-Positive Regenerative Dairy Systems builds upon the original prospectus (DOI: 10.5281/zenodo.21538664) by integrating abundant low-cost clean energy, advanced on-site CO₂ scrubbers, intelligent multi-functional greenbelts, and decentralized vertical hydroponics. This evolution transforms New Zealand dairy farms from environmentally sustainable operations into active net-positive regenerative systems that function as carbon sinks, biodiversity enhancers, and water quality producers, while maintaining or increasing economic output. By leveraging current technological convergence — including satellite virtual fencing, AI-driven optimization, renewable power, and closed-loop nutrient cycling — the model delivers accelerated ROI, greater resilience for smaller farms, and a scalable blueprint for global pastoral agriculture. The enhanced framework resolves long-standing tensions between productivity and environmental stewardship, positioning New Zealand as a leader in high-tech regenerative food systems for the 21st century. (Word count: 148 – suitable for presentations, funding proposals, or DOI metadata) Keywords (for search, tagging, academic indexing, or presentation metadata) Primary Keywords: Pure-Milk Green Finance Matrix Regenerative dairy farming Sustainable intensification Net-positive agriculture New Zealand dairy transformation Technical & Solution Keywords: Virtual fencing On-site Direct Air Capture (DAC) Decentralized vertical hydroponics Methane-scrubbing greenbelts Agritech closed-loop systems Renewable energy integration Carbon sequestration farming Strategic Keywords: Macroeconomic transformation Green finance KiwiSaver reinvestment Shared-equity sharemilking Global agritech IP export Climate-smart agriculture Net-zero dairy
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Agriculture Sustainability and Environmental Impact
Online disruption of financial systems is one of the most meaningful paradigmatic shifts between centralized institutional frameworks and decentralized blockchain-based infrastructure. In the present research paper, the author thoroughly reviews how blockchain technology and FinTech innovation can transform financial services, payment systems, and capital markets. Our inquiry focuses on the role of distributed ledger technologies (DLTs) in mitigating such areas as transaction speed, cost reduction, improved security, and transparent audit trails. The article dwells upon the ciphertext-policy attribute-based encryption (CP-ABE) systems that are embedded into blockchain networks and used to offer advanced access control and privacy in a multi-cloud financial system. The main technological advancements that are identified by our research are smart contracts, decentralized finance (DeFi) protocols, and blockchain-based custodial solutions. We examine experimental applications that show the increase in performance in terms of transaction processing, efficiency in encryption, and validation of authorization in blockchain-enabled financial networks. The paper deals with issue of regulation, and scalability as well as integration of old financial systems. Results indicate that financial systems based on blockchain are able to cut transaction costs by 87 percent and still have the same level of cryptographic security as current banking systems. The study will add value to comprehending the best blockchain set-ups of financial services providers and give recommendations based on evidence about digital transformation strategies. Future trends are creation of interoperable blockchain networks, high-privacy preserving technologies, and regulatory frameworks that facilitate financial innovation.
Cüneyt Gürcan Akçora, Murat Kantarcioglu, Yulia R. Gel
In this chapter, you will explore the vulnerabilities and attack surfaces of blockchain systems that arise from their open, permissionless nature. You will learn how privacy and security issues manifest at different layers of blockchain architecture, including peer-to-peer networking, transaction propagation, block mining, and smart contract execution. The chapter introduces you to key privacy challenges such as identity leakage, transaction linkability, and deanonymization in UTXO and account-based systems. You will also study how adversaries can mount attacks that exploit consensus protocols, timestamp synchronization, and transaction ordering. The chapter concludes with detailed examples of smart contract vulnerabilities, including reentrancy, front-running, and oracle manipulation, and highlights the economic and technical incentives that make these attacks feasible in Decentralized Finance ecosystems.