blockchain

Zero-knowledge proof framework for privacy-preserving financial compliance

This article presents a minimal viable product (MVP) architecture and proof-of-concept implementation that leverages zero-knowledge proofs to conduct essential KYC checks on a blockchain network without disclosing sensitive user information.  The design employs a trusted off-chain KYC provider to validate user credentials, then uses succinct cryptographic proofs, compiled and verified with Groth16, Circom, and snarkjs, to guarantee compliance on-chain.  A single smart contract deployed on a test network (Sepolia) verifies these proofs while insulating personal data from

Anonymization of Data Using Blockchain Technology: a Model for Data Lifecycle Management to Ensure Transparency and Compliance With Gdpr

The rapid growth in the volume of personal data collected and processed by various organizations poses significant challenges for ensuring information privacy and security. The General Data Protection Regulation (GDPR) of the European Union sets strict requirements for the processing, storage, and deletion of personal data, including the right to be forgotten, which entails the complete and irreversible deletion of information upon user request.

Analysis of the Features of Secure Data Processing in Blockchain Technology Based on an Experimental Transaction Exchange Network

mechanisms for secure exchange of transactions are analyzed. The distributed structure of the blockchain network, built on the basis of a sequence of blocks containing transaction data, is considered. The fundamental features of the blockchain technology are described, as well as the 6-component multilayer blockchain architecture. The importance of using cryptographic hash functions to ensure the security and integrity of data in a blockchain network is shown.

Modeling the Block Formation Process in Blockchain and Its Impact on Scalability

The article investigates the process of block formation in blockchain networks and the impact of node network architecture and consensus algorithms on their scalability and performance. Analysis of blockchain system scalability is important due to problems that arise when network load increases, particularly the increase in the number of block forks and transaction confirmation times. The research focuses on studying the impact of network delays and the choice of consensus algorithm on the performance and scalability of blockchain networks.

Blockchain Applicability for Storing Iot Telemetric Data in Logistic

The rapid growth of the Internet of Things (IoT) has revolutionized the logistics industry by enabling real-time tracking and monitoring of goods throughout the supply chain. However, the immense volume of telemetric data generated by IoT devices presents significant challenges in terms of scalability, data integrity, and security for traditional database solutions. This paper explores the applicability of blockchain technology as an alternative for storing and managing IoT telemetric data in logistics.

INCLUSIVITY AND SCIENCE ORIENTATION OF DAO: PROBLEMS AND PROSPECTS

Purpose of the research. Exploration of the research gaps in order to understand how DAOs can encourage initiatives/practices to protect the interests of various stakeholders as well as identifying and comparing the main problems and prospects for creating and scaling DAOs in the existing economic realities. The following hypotheses that DAO is a form of science-oriented entrepreneurship and creates opportunities for involving unused entities in diverse   economic processes were analyzed.

Application of machine learning algorithms to enhance blockchain network security

This paper embarks on a detailed examination of the inherent security challenges faced by blockchain networks, including fraudulent transactions, double-spending, and 51% attacks, among others.  Using recent advancements in ML, it presents a novel methodology for real-time anomaly detection, predictive threat modeling, and adaptive security protocols that leverage data-driven insights to fortify the blockchain against both known and emerging threats.  By analyzing case studies and empirical data, this study illustrates the effectiveness of ML techniques in enhancing the

Methods of Blockchain Technology Formation in the Arms Sales Accounting System

The article explores the application of blockchain technology in the field of arms sales accounting. The authors examine the main methods of forming such technology, including distributed ledger, hash functions, cryptographic protection, smart contracts, consensus protocols, decentralized network, transactions, genesis block, decentralized governance, and public key. The authors analyze the potential of these methods in creating an efficient and secure arms sales accounting system.

Information technologies for ensuring protection of intellectual property rights: administrative and legal aspects

Abstract. The article is devoted to a comprehensive study of technologies designed to protect intellectual property rights. The scientific basis for the study of information technologies for ensuring the protection of intellectual property rights is analyzed.

BLOCKCHAIN AND BIOMETRICS: CHALLENGES AND SOLUTIONS

Blockchain technology has garnered significant attention in recent years due to its ability to revolutionize conventional processes by providing faster, more secure, and cost-effective solutions. This study explores the symbiotic relationship between blockchain and biometrics, investigating how these technologies can mutually reinforce each other. The research makes a dual contribution: firstly, it comprehensively analyses blockchain and biometrics, highlighting their convergence's potential advantages and obstacles.