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USING BLOCKCHAIN-BASED NEURAL NETWORKS IN INFORMATION SECURITY

Shipulin Svyatoslav Stanislavovich  (Graduate student, SUAI Sankt-peterburg )

This article examines the integration of neural networks and blockchain technologies in the context of information security. Statistics show a growing number of cyberattacks, making the need for data protection more significant than ever. Neural networks play a key role in analyzing large volumes of information and identifying anomalies, while blockchain ensures reliable and transparent data storage, enhancing trust levels. The article presents successful case studies of the use of these technologies, including examples of blockchain transaction analysis, the creation of decentralized markets, and authentication systems. Lessons learned from these examples are discussed, along with future research prospects in the field of cybersecurity, such as resilience to attacks, model interpretability, and adaptive threat detection systems. Potential challenges to implementation, legal and ethical aspects, and future development opportunities are also addressed. The article emphasizes that the combination of neural networks and blockchain technologies is a promising area of research capable of shaping a more secure digital world and improving data protection.

Keywords:Neural Networks, Blockchain, Information Security, Cyberattacks, Anomalies, Data Analysis, Decentralized Systems, Authentication, IT Ethics, Development Prospects
 

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Citation link:
Shipulin S. S. USING BLOCKCHAIN-BASED NEURAL NETWORKS IN INFORMATION SECURITY // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2025. -№01. -С. 152-156 DOI 10.37882/2223-2966.2025.01.43
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