INNOVATIVE METHODS OF ENCRYPTION AND STORAGE OF DATABASE PARTS IN DISTRIBUTED SYSTEMS BASED ON SMART CONTRACTS

Abstract

The article proposes a comprehensive approach to solving the data protection problem in decentralized distributed information storage systems based on blockchain technology. A conceptual "SecureChain" model has been developed that integrates modern cryptographic protection methods with programmable smart contract logic for automated access management and data integrity assurance. The model employs a multi-level architecture including data layer, smart contract layer, network interaction layer, and user interface. The key innovation is the application of Shamir's threshold encryption schemes (t, n) controlled by smart contracts, combination of symmetric and asymmetric encryption algorithms (AES-256 for data, Curve25519 for keys), and implementation of a "secret disclosure" mechanism to enhance critical information security. Experimental validation of the model was conducted in three typical use cases: medical data storage system, corporate document management system, and electronic voting platform. Results demonstrate significant improvement in key security metrics compared to traditional approaches: resistance to attacks on individual nodes (by 65%), data confidentiality (by 72%), access audit capability (by 90%), and fault tolerance (by 58%) with moderate increases in storage costs (by 15%) and access time (by 10%). Additional scalability analysis showed a near-linear relationship between performance and both data volume and number of users. The proposed model and implementation methodology have significant practical value for organizations working with confidential data and requiring reliable distributed storage systems that meet modern security requirements and regulatory standards. Keywords: smart contracts, cryptographic protection, threshold encryption, distributed systems, key management, data integrity, network security.