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This article presents a comparative analysis of automatic Solidity smart contract generation using large language models (LLMs) based on two approaches: natural language textual descriptions and formal algebraic specifications. The study analyzes smart contracts generated by LLMs (ChatGPT-4, Claude 3.7 Sonnet, DeepSeek-V3) as well as by the AI-based tool GitHub Copilot, evaluating their syntactic correctness, compliance with initial requirements, and security.

The development of smart contracts in blockchain networks has enabled the creation of sophisticated decentralized finance (DeFi) protocols, encompassing decentralized exchanges, lending platforms, and algorithmic crypto-assets. Despite decentralization and transparency, blockchain networks do not guarantee a predictable transaction execution order, leading to the emergence of the phenomenon known as Maximal Extractable Value (MEV) – an additional profit extracted by certain network participants who influence transaction ordering.

The legal aspects of the organization of electronic voting (e-voting) in Ukraine in the context of technological innovations and prospects for implementation are considered. The essence and forms of e-voting as an innovative tool for the realization of citizens’ electoral rights are investigated. The main technological solutions used in the world practice are considered: Internet voting (i-voting), use of electronic terminals (DRE), biometric identification, smart card technologies and two-factor authorization.

Modern logistics monitoring solutions increasingly depend on the integration of IoT devices for real-time data collection, shipment tracking, goods and vehicle monitoring, and informed decision- making. However, current IoT-based logistics systems face significant challenges, including complex data management, limited interoperability among stakeholders, and inefficiencies resulting from centralized control mechanisms.

The article addresses the problem of counterfeit goods using Blockchain technology. An analysis of existing methods and tools for combating counterfeiting has been conducted, justifying the choice of blockchain as an effective means of ensuring transparency and data protection. An analysis of existing anti-counterfeiting approaches has been conducted, justifying the choice of blockchain as an effective method for ensuring transparency and data protection.

The article considers the problem of ensuring the reliability and security of personal data processed in state registers by using blockchain technologies. The growing requirements for transparency and stability of state data management systems pose new challenges to protecting information from unauthorized changes, interference, and forgery. A method based on implementing a decentralized blockchain architecture is proposed to ensure data integrity, traceability, and transparency during processing and storage.

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.

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.

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.

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.