Jul 2026· Bulletin of NTU "KhPI". Series: Strategic management, portfolio, program and project management· pp. 20-26· 0 citations
TL;DR
This paper proposes a private, dockerized blockchain architecture for supply chain management that combines the Proof of Friendship consensus mechanism with Zero-Knowledge Proofs (ZKP), and demonstrates improved resistance to Sybil attacks, reduced validator centralization, and acceptable transaction latency for corporate blockchain deployments.
Abstract
Modern supply chain management systems increasingly rely on distributed architectures to ensure transparency, integrity, and trust between participants. Blockchain technology provides a promising foundation for such systems; however, traditional consensus mechanisms introduce high computational overhead, energy inefficiency, and privacy risks. These limitations are particularly critical for small and medium-sized enterprises (SMEs) with constrained computational resources, that they are using to expand on their traditional informational systems and not to integrate distributed technologies into the work process, as setup process for blockchain tools is more complex than centralized approach. This paper proposes a private, dockerized blockchain architecture for supply chain management that combines the Proof of Friendship (PoF) consensus mechanism with Zero-Knowledge Proofs (ZKP). By integrating a private, dockerized framework with the Proof of Friendship consensus and Zero-Knowledge Proofs, this architecture enables resource-constrained enterprises to achieve a high-performance decentralized network that simultaneously ensures sub-second transaction validation through social trust metrics, robust protection of competitive business intelligence via cryptographic privacy, and seamless cross-platform deployment through containerization, ultimately overcoming the traditional trade-offs between system transparency, operational cost, and data confidentiality in global trade. PoF extends Proof of Stake by incorporating social trust indicators, including transaction success rate and geographic diversity of validators, enabling resource-efficient and decentralized consensus. ZKP mechanisms are integrated through an off-chain prover module, allowing transaction correctness to be verified without revealing sensitive business data. The proposed approach enhances cybersecurity, data confidentiality, and system scalability while reducing computational costs. Simulation results demonstrate improved resistance to Sybil attacks, reduced validator centralization, and acceptable transaction latency for corporate blockchain deployments.
Experimental results on a hardware prototype demonstrate that compared with no-blockchain trust-by-default baselines, the zero-trust overhead of TrustAgentNet is dominated by off-chain inference, while the blockchain layer incurs minor ledger costs via the ledger-IPFS storage and on/off-chain integration design.
Yayu Gao, Yong Xiao, Hao Hu et al.· IEEE Transactions on Cogniti...· 0 citations
Abstract
The increasing complexity of global financial systems has exposed the limitations of conventional centralized banking infrastructures in managing transparency, operational efficiency, security, and real-time transaction processing. Distributed Ledger Technology (DLT), particularly blockchain, has emerged as a transformative digital architecture capable of addressing these structural challenges through decentralized record management, cryptographic security, and automated transaction validation. This study examines the architectural foundations and strategic viability of blockchain-enabled distributed ledger technologies within modern banking and corporate finance. Using a qualitative research approach based on an extensive review of recent scholarly literature, industry reports, and practical financial applications, the study evaluates how different blockchain architectures contribute to organizational transformation. Three representative case studies—consortium corporate lending and syndicate management, cross-border settlement systems, and decentralized Know Your Customer (KYC) identity management—are analyzed to demonstrate the practical implications of enterprise blockchain adoption. The findings indicate that permissioned and consortium blockchain architectures significantly enhance operational transparency, reduce intermediary dependence, improve data integrity, automate compliance through smart contracts, and accelerate financial transactions while strengthening governance and auditability. However, the study also identifies challenges associated with regulatory uncertainty, interoperability with legacy systems, scalability, and institutional readiness that continue to influence large-scale implementation. The research contributes to the growing body of knowledge by integrating architectural analysis with strategic business evaluation and proposes a comprehensive perspective on the role of distributed ledger technologies in reshaping banking operations and corporate financial management. The findings provide useful insights for researchers, financial institutions, technology professionals, and policymakers seeking to develop secure, efficient, and sustainable digital financial ecosystems.
Keywords: Distributed Ledger Technology (DLT), Blockchain, Smart Contracts, Consortium Lending, Cryptographic Auditing, Cross-Border Clearance, Financial Disintermediation, Asymmetric Cryptography, Banking and Finance.
Prajakta Khule, K. Kumaraswamy, Puja Bhardwaj et al.· International Scientific Jou...· 0 citations
The growing nature of global supply chains has posed a great challenge in terms of providing a level of transparency, security, scalability, and privacy among the distributed logistics networks. Conventional supply chain management systems are based on the central databases that are susceptible to alteration of data, fraud and insufficient interoperability between the stakeholders. Despite the fact that blockchain technology has became a promising solution to enhance supply chain transparency and traceability, scalability, the high transaction latency, privacy leakage, and energy-consuming consensus mechanisms are current limitations with regard to the existing blockchain-based systems. This paper has provided a new framework to solve these problems which includes AI-driven Adaptive Sharded Blockchain with Zero-Knowledge Traceability (AASB-ZKT) of smart supply chain. The solution proposed combines the use of artificial intelligence-based anomalies detection, dynamically sharded blockchain, privacy protection based on zero-knowledge proofs, smart contracts powered by IoT, and opinion-based weighted consensus. The framework is meant to enhance the throughput of transactions, decrease the latency, increase fraud detection, and provide privacy without traceability. The empirical analysis conducted on the experimental basis proves that the suggested strategy is much more effective in enhancing the scalability, security, and operational efficiency in contemporary supply chain environments.
R. Sreekumar, M. Nidhi· International Conference on...· 0 citations
Fruit and vegetable supply chains generate heterogeneous data across production, storage, logistics, and sales, creating challenges for trusted data sharing, privacy protection, and real-time traceability across distributed supply-chain information systems. Conventional single-chain blockchains suffer from limited scalability, data redundancy, and low retrieval efficiency, making them inadequate for high-frequency full-process information management. This study proposes a multi-chain blockchain framework for trusted full-process information management of fruit and vegetable supply chains. The framework integrates traceability, enterprise, notary, and regulatory chains to support hierarchical data management and privacy isolation. A reputation-based notary node election mechanism and a threshold-signature scheme based on Shamir secret sharing are designed to enhance cross-chain security and distributed regulatory consensus. To improve retrieval efficiency, a Cuckoo-Augmented Merkle Tree (CMerkle) and a skip-list-based block index are developed. Simulation results show that all malicious nodes were restricted by the 19th round, signature aggregation required 70.16 ms in a 500-node setting, and CMerkle achieved retrieval speedups of 14.7 and 153 times at data scales of 500 and 10,000 records, respectively. The framework supports trusted data governance, real-time traceability, privacy-preserving sharing, and regulatory decision support in blockchain-enabled supply-chain information systems.
Weiqiang Chen, Zhiyao Zhao, Haisheng Li et al.· Computers· 0 citations
Given that digital governance has achieved extensive spread and people rely increasingly on online services, affordable and trustworthy identity management is now one of the core pillars of contemporary e-Governance systems. Conventional identity systems are usually centralized, highly susceptible to cyber-attacks and most likely to breach privacy. Blockchain technology provides a decentralized, tamper-proof, and transparent system, which guarantees data integrity, data security, and the privacy of the user. In this paper, the authors research the adoption of blockchain-based identity management within e-Governance sites. We discuss available solutions, assess the risks along with their weaknesses and strengths, and suggest a design on how to introduce a safe blockchain-based identity system. Important efforts have been on developing a holistic system that brings smart contract, cryptographic protocols and distributed ledger technologies together to make citizen identification and authentication secure. The outcome of the results shows enhanced security, less identity fraud, and better data security, so there is a possibility of scalability and resilient e-Governance applications.
J. Nováková, Adi Lestari· International Journal of Mod...· 0 citations
As a booming application domain in sharing economy, the crowd logistics services (CLSs) have emerged in recent years to take advantage of under-utilized resources for generating economic value. However, unduly designed CLS system platforms may suffer substantial problems such as sensitive information exposure, excessive commission fees, and trust issues. To mitigate such problems, we propose an approach comprising four initiatives: (1) exploring the applicability of blockchain technology and its affiliated technology, smart contract, in CLSs to manifest blockchain-enabled benefits including service traceability, process transparency, system automation and disintermediation; (2) adopting blockchain and smart contract technologies to design a blockchain application system architecture (BASA) suitable for reengineering current CLSs; (3) demonstrating the blockchain-based crowd logistics services (BCLSs) system design, implementation, and deployment details; and (4) evaluating the functionality and benefit of BCLSs approach to confirm its feasibility and applicability. After presenting the system design and implementation outcomes, this study elaborates the benefits and implications of BCLS systems through four theoretical frameworks: e-Commerce Value Creation Theory (VCT), Innovation Diffusion Theory (IDT), Principal Agent Theory (PAT), and Transaction Cost Analysis (TCA), deriving important findings and implications. Such benefits and implications suggest that BCLSs may help CLSs (1) mitigate PAT frictions and reduce transaction costs; (2) redefine value creation and accelerate innovation diffusion; (3) eliminate platform monopolies and achieve real-time settlement; (4) implement data sovereignty and enhance privacy/security; and (5) reconfigure trust mechanisms and generate digital credit assets. The research results of this study may help the CLS industry clarify the BCLS system’s upgrade path, promote business model innovation, and enhance fair governance and social sharing.
S. Chang, Kai Chung, Chung-Hua Chu· Systems· 0 citations
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