Blockchain Papers

Frederik Salzmann

No abstract is available for this record.

Dr.M.Sukesh Dr.M.Sukesh, MANCHIKANTI YASHASWINI, GADE SHARATH, GUGULOTHU NAVEEN · 5 authors

The increasing number of behind-the-meter distributed energy resources (DERs) is changing traditional distribution systems in a big way by adding new ways to control and monitor them. But the effectiveness and dependability of these systems depend heavily on the accuracy of the data (like measurements, control commands, etc.) that the prosumers, aggregators, and grid operators share with each other. In addition, traditional power systems rely entirely on trusted aggregators to gather data from these DERs. If these aggregators are hacked, the whole system could be at risk. In this paper, we respond to these concerns by suggesting a hierarchical blockchain-based framework that includes a distributed integrity auditing system for measuring DERs. By using hash functions and Merkle trees, a secure and lightweight blockchain-based hash aggregation protocol is made to make sure that behind-the-meter DERs' measurements are real. Also, an automated distributed sanity check of DERs' set points (control commands) is suggested to lower the risk of coordinated cyber attacks on a large number of DERs. The suggested framework is put into action and tested in a number of different situations to see how well it works and how safe it is. The results show that the framework can handle more work because it can cut its runtime and storage costs by about 47% and 44%, respectively.

Fernando Mori

No abstract is available for this record.

Ileana Maria Muntean, Radu Tîrnovan, Horia G. Beleiu

As renewable generation becomes increasingly deployed at the local level, the reliability of microgrids depends not only on physical infrastructure but also on the credibility of the measurement data driving energy control decisions. In conventional Energy Management Systems (EMS) architectures, monitoring is implicitly assumed to be correct, even though no mechanism exists to verify the authenticity or integrity of the received data. This gap can lead to suboptimal or misleading control actions, especially in distributed environments involving multiple stakeholders. This paper introduces a trust-by-design approach in which monitoring and energy management processes are natively supported by a lightweight Distributed Ledger Technology (DLT) layer embedded within the EMS. Rather than relying on external trust assumptions, the proposed mechanism ensures built-in traceability and tamper-evidence, enabling independent validation of the microgrid’s operational history. A simple renewable microgrid with battery storage is used as a demonstrative case study to show how a DLT-based ledger can safeguard measurement integrity and control decisions without adding technical complexity to the EMS itself. The results demonstrate that verifiable data flows and tamper detection significantly enhance the transparency and robustness of EMS architectures, while enabling future extensions towards predictive or AI-assisted control strategies.

Abraham Itzhak Weinberg

No abstract is available for this record.

Zsolt Halász

Like many other subject areas, technological progress is also transforming the world of securities. New technological solutions and opportunities may lead to the emergence of new institutions, including new legal institutions. The distributed ledger technology enabling the operation of well-known cryptocurrencies is – among many other things – a tool suitable for the registration of securities; although it has not yet become widespread, some countries have already established the legal framework for its application. This study presents a comparative analysis of existing European regulatory solutions to demonstrate the options available for establishing an effective regulatory framework for securities recorded on a distributed ledger and the benefits of introducing such a securities registration system from both a regulatory and a practical perspective.

Antony Ariel Caisa Ronda, Ángel Alberto Villarroel Maya

Objective: The study analyzed the organizational climate factors in a municipal decentralized autonomous government in the province of Cotopaxi. The purpose was to identify the dimensions rated highest and lowest by public servants and to generate relevant input for decision-making in leadership and human talent management. Methodology: A quantitative, non-experimental, descriptive study was conducted. Data collection was carried out using a structured questionnaire with a five-point Likert-type scale, administered to public servants of the municipal GAD. The reliability of the instrument was assessed using Cronbach’s alpha coefficient, yielding a value of 0.983, and data processing was performed with SPSS software, using benchmarks for interpreting the results. Results: The findings revealed that the organizational climate was predominantly perceived as low (44.40%), while the leadership (66.90%), commitment (64.50%), and work environment (63.80%) dimensions reached intermediate levels of acceptance. Strengths related to trust in leadership, initiative, and openness to change were identified; however, weaknesses persisted in work organization, recognition, professional development, equity, and resource availability. Conclusions: It was concluded that the organizational climate exhibits significant gaps that limit the consolidation of a favorable work environment. The results provide empirical evidence for the design of institutional policies aimed at strengthening leadership, recognizing performance, fostering professional development, and providing resources. Furthermore, they open future lines of research focused on the comparative analysis of organizational climate in various public management contexts.

Ian Staley

Decentralized autonomous organizations (DAOs) and AI-agent systems combine cryptographic execution with blockchain-based governance, yet observed organizations almost universally combine these mechanisms with a conventional legal entity—a foundation, statutory DAO form, or limited liability wrapper. I develop a stylized model in which token-holders jointly determine wrapper choice and governance concentration, generating multiple equilibria: an inefficient trap in which the wrapper coalition cannot form because no holder will absorb the front-loaded fixed cost alone, and an efficient wrapper equilibrium in which the coalition reaches scale and amortizesfixed costs effectively. The trap is an empirically grounded coordination problem rather than an analytical artifact, and a global-games selection argument identifies the threshold at which institutional design tips the system between equilibria. The framework reframes the CFTC v. Ooki DAO ruling, the Wyoming DAO LLC and DUNA statutes, and AI legal personhood debates as questions of equilibrium selection rather than of substantive cost allocation, and bounds the “Coasean singularity” claim that AI agents dramatically reduce transaction frictions.

Lennart Ante, Tim Alvaro Ockenga

No abstract is available for this record.

Hemasree Akula

No abstract is available for this record.

Michal Vaňo

Federatívne učenie (FL) umožňuje spoločné trénovanie modelu bez priameho zdieľania údajov, ale často sa spolieha na silné predpoklady o čestnom správaní klienta a servera. To je dôvod, prečo štandardné FL protokoly poskytujú iba obmedzenú záruku ohľadom výpočtov na strane klienta, integrity odoslaných informácii, alebo ohľadom správnosti agregácie na strane servera. Táto diplomová práca skúma použitie systémov s nulovými znalosťami (ZKP) spolu s podpornými metódami na vytvorenie dôvery v FL prostredí. V tejto práci sa po úvode k FL a ZKP ďalej skúma prehľad existujúcich ZKP nástrojov v prostredí FL. Na základe tejto analýzy je vytvorená kategorizácia existujúcich prístupov FL založených na ZKP, ktorá je postavená najmä na cieľoch daného systému. Na základe identifikovaných možností zlepšenia práca navrhuje overiteľný protokol váženej agregácie. V tomto protokole je každý prijatý príspevok previazaný s autorizovanou váhou, prípustnou skrytou aktualizáciou, konzistentným váženým vstupom a výslednou aktualizáciou modelu, ktorú je možné verejne overiť prepočítaním. Tento protokol bol implementovaný ako prototyp s plne funkčnými kryptografickými komponentami. Následne je tento protokol vyhodnotený.

Yury Cristian Martínez Évora

No abstract is available for this record.

Alireza Kavousi, Duc V. Le, Philipp Jovanovic, George Danezis

Maximal Extractable Value (MEV) is a crucial challenge in blockchains and cryptocurrencies. A principal countermeasure is using encrypted mempools to hide the transaction payloads until they are committed in a block. However, the existing approaches based on encrypted mempools remain vulnerable to metadata leakage and may not provide sufficient mitigation against block producers due to their sole control in block preparation. In this paper, we propose techniques that utilize randomized permutation on the committed block, offering a multi-layer solution. With a focus on proof-of-stake (PoS) committee-based consensus, we then introduce BlindPerm, a framework that enhances an encrypted mempool with permutation and present various optimizations. Notably, we propose a construction where this enhancement comes at essentially no overhead by piggybacking on the encrypted mempool and without relying on any external entity such as randomness beacon. Further, we illustrate the effectiveness of our solutions by running simulations using historical Ethereum data.

Dimpi Gulati

Abstract Originally designed to support cryptocurrencies like Bitcoin, blockchain technology has evolved into a powerful tool with applications far beyond digital currency. This paper explores how blockchain is transforming software development by enabling decentralized, secure, and transparent systems. Key areas of focus include digital identity verification, smart contract automation, supply chain tracking, decentralized data storage, and secure e-governance solutions such as digital voting. The study outlines fundamental blockchain components—such as distributed ledgers, consensus mechanisms, and tokenization—and explains how they contribute to building tamper-resistant applications. It also examines blockchain’s role in powering Web3 technologies, decentralized finance (DeFi), and cross-chain interoperability. Through real-world case studies in healthcare, logistics, and digital governance, the paper highlights the tangible benefits of blockchain-based solutions while acknowledging current limitations like scalability, energy use, and regulatory issues. The analysis offers a forward-looking perspective on how software developers and organizations can harness blockchain to create resilient, next-generation applications.

Firuzi Kotwal

No abstract is available for this record.

Bharath Singh Jebaraj, Vivekrabinson K, Adapa Greeshmi Karunya, Uggirala Sairam Manikanta · 6 authors

No abstract is available for this record.

Vedang Ratan Vatsa

This study analyzes 128,286 academic papers tagged as blockchain or cryptocurrency research by OpenAlex's machine-learning concept classifier, published between 2013 and mid-2026. A broader keyword search across paper abstracts identifies 1,938,409 publications that mention Web3-related terms. The analysis measures keyword frequency, temporal trajectories, growth rates, citation distributions, geographic concentration, institutional output, and open access rates. Key findings include 117x growth in annual blockchain publications between 2013 and 2025, the rise of zero-knowledge proofs as the fastest-growing cryptographic primitive (2.1x growth, 2025-2026 vs. 2022-2023), DeFi research experiencing a 74x increase from 2019 to 2025, NFT research peaking in 2023 before declining, China and India leading global output with 13.5% and 13.3% of all papers respectively, and 43.5% of all papers receiving zero citations.

Chaoju Wang, Lionel Huntley Henderson, Yinxue Lyu, Chaokai Zhang

Buildings are shifting from static, environment centric control schemes toward dynamic systems that adaptively respond to individual occupants. To clarify how this transition affects building operation, this paper reviews recent advances in occupant centric control from three dimensions: physical control systems, data and network infrastructure, and occupant interaction mechanisms. The review draws from research in building science and computing and organizes key developments using the trinity of transformation, resilience, and sustainability. The results show that the shift to occupant centric requires high-density sensing, distributed data processing, interoperable protocols, and feedback models that integrate occupant behavior. The paper also discusses how concepts introduced from Web3 can support decentralized data management and long-term trust in occupant participation. This work provides a technical and conceptual basis for researchers and practitioners involved in the digital transformation of smart building operation.

Regiane Cristina Azevedo

Decentralized finance (DeFi) protocols increasingly interface with the United States financial ecosystem while exhibiting structural vulnerabilities related to operational resilience, governance fragmentation, and illicit finance exposure. This paper proposes a structured Operational Risk Governance Framework tailored to decentralized financial platforms, translating established financial-sector internal control and operational risk principles into functionally equivalent governance mechanisms suitable for blockchain-based environments. The framework introduces (i) an operational risk taxonomy adapted to DeFi, (ii) an internal control governance model mapped to COSO and Basel-aligned concepts, and (iii) the ORG-DeFi Model, a scoring methodology that evaluates platforms across governance integrity, technical controls, AML and illicit finance exposure, liquidity and market stability, and transparency and monitoring. A hypothetical lending-protocol case example illustrates application for institutional due diligence, compliance assessment, and research benchmarking. By operationalizing governance indicators that align with U.S. policy priorities on financial stability, market integrity, and illicit finance mitigation, this work provides an implementation-oriented methodology to support responsible innovation and strengthen risk governance in decentralized systems.

Kingsley Imandojemu, Aliyu Akorede Rufai, Felix Orole, Romanus Osabohien

ABSTRACT Balancing energy security, energy equity, and environmental sustainability has become increasingly challenging as economies pursue low‐carbon growth amid climate risk and persistent disparities in access to modern energy. Although entrepreneurship is widely recognized as a driver of innovation, its role in addressing the energy trilemma remains contested. This study examines whether, and under what conditions, entrepreneurship contributes to resolving the energy trilemma, using panel data for 64 countries from 2011 to 2022. Drawing on the World Energy Council's trilemma indices, World Bank entrepreneurship and macroeconomic indicators, and OECD‐DAC climate finance data, the analysis employs random‐effects models to capture both within‐ and between‐country variation. The results show that entrepreneurial activity is robustly associated with improved energy security and energy equity, alongside more modest gains in environmental sustainability. Innovation capacity strengthens these relationships, while foreign direct investment and climate finance exhibit uneven effects, tending to support system‐level and environmental outcomes more than inclusive access. Regulatory quality emerges as a critical enabling condition that significantly amplifies the positive impact of entrepreneurship across the energy trilemma. Overall, the findings provide cross‐country evidence that entrepreneurship functions as both an innovation conduit and a decentralizing force in energy transitions, underscoring the importance of predictable regulation and better‐targeted climate finance for access‐oriented clean energy solutions.

Farbod Ghasemlu

No abstract is available for this record.

Hugo Hedlund

A majority of well-known blockchains supports Non-Fungible Tokens (NFTs) operations via smartcontracts. Smart contracts often allow users to store arbitrary logic and code for a small programon the blockchain, and run it on the validator nodes when a monetary transaction is made to thecontract’s account. The use of smart contracts creates extra complexity in the blockchain protocolwhen allowing concurrent smart contract execution between shards alongside monetary transactions.To reduce the complexity of the blockchain protocol, native tokens and operations could be supportedby the blockchain, albeit restricting developers to a predefined set of functions and operations. Nativetoken operations can serve as a secure complement to the versatility of Turing-complete smartcontracts, providing robust, predefined primitives that could reduce the surface area for smart contractvulnerabilities. This project introduces a native token model that is centered on unique, non-fungible tokens thatsupport three primary use cases: ownership, rights and authenticity. By requiring bilateral transferconsent, and supporting optional clawback and freeze mechanisms, for revocable rights and non-transferable tokens respectively, the model bridges the gap between blockchains and legal frameworks.Additionally, an indirect transaction cost mechanism is implemented to protect the blockchain networkagainst Denial-of-Service attack during non-monetary operations. The project is supported by an emulator implementing monetary and token operations, alongsidea implementation design of how the token protocol could be integrated within ScaleGraph. The emulator’s throughput displays a slightly degraded performance of token transfer operations of ~150TX/s on average, compared to monetary transfers in the current implementation. Despite this, theemulator maintains a high average throughput of ~1300 TX/s with load generators of both monetaryand token transfer operations, when tested on a VPS with 2 vCPUs and 4GB of ram.If the token operation properties and performance compared to monetary transaction are transferableto ScaleGraph, native tokens could be a preferred way of implementation of tokens independentlywether or not with implementation of smart contracts.

Christian Finke, Tamino Marahrens, Matthias Schümann

As supply chains (SCs) face increasing pressure from ecological demands, ethical expectations, and global disruptions, Distributed Ledger Technology (DLT) is gaining attention as a potential enabler of transparent, secure, and automated processes, helping to meet the expectations of customers and regulatory authorities. Nevertheless, the lack of generally valid design recommendations hinders its implementation. Therefore, we adopted grounded theory principles within a design science research approach to address this gap. Subsequently, we derived 11 overarching expert insights for developing a DLT operating model in SCs and 15 for its implementation by conducting 16 expert interviews. These insights were finally used to extract 19 generally valid design recommendations for applying DLT in SC processes that contribute to practical implementations and the framing of realistic adoption expectations by guiding researchers and practitioners.

Benjamin Lewis

No abstract is available for this record.