The method of increasing the security of distributed database systems based on optimization approaches and blockchain technologies
DOI: 10.31673/2412-9070.2025.061211
DOI:
https://doi.org/10.31673/2412-9070.2025.061211Abstract
This paper presents a novel method for enhancing the security of distributed database systems based on optimization techniques and blockchain technologies, aimed at ensuring system resilience under dynamic cyber-threat conditions. A mathematical framework is developed using stochastic models of node compromise probability, shard failure likelihood, and blockchain consensus disruption. These models are integrated into a unified risk function that reflects system vulnerability considering cryptographic strength, replication structure, consensus parameters, and environmental factors. A multi-objective optimization model is proposed to minimize the combined metric of risk, operational cost, and latency, achieving an optimal balance between security and performance in hybrid architectures involving on-chain and off-chain data storage.
The operational algorithm functions as a closed adaptive loop, continuously performing riskestimation, checking hard and probabilistic SLA constraints, analyzing threat deviations, and selecting optimal security configurations. The method incorporates SAA, ADMM, and MPC, enabling efficient large-scale optimization across numerous shards and ensuring real-time adaptation. Blockchain serves as a mechanism for immutable audit logging, decentralized access control, and system state verification.
The proposed solution reduces the compromise risk by 25–30 %, decreases unnecessary security overhead, and ensures predictable system behavior even under peak loads or active cyberattacks. The method offers an integrated approach for building adaptive, resilient, and scalable distributed databases suitable for corporate, cloud, and decentralized environments.
Keywords: distributed databases; blockchain; optimization; risk; consensus; replication; crypto-graphic security; SAA; ADMM; MPC; adaptive security; on-chain/off-chain storage.
