Method for ensuring the reliability and integrity of personal data processed in a blockchain system

Recent research and publications. Blockchain technology has shown significant poten-tial for securing personal data through its fundamental properties of immutability and distribu-tion. However, existing solutions often focus on general blockchain security aspects without considering the specifics of personal data processing and compliance requirements. The aim of the study. Development of a specialized method for ensuring the reliability and integrity of personal data in blockchain systems while maintaining compliance with data protection regulations and enabling controlled data modification. Main material of the study. The paper presents amethod based on a mathematical model for data reliability assessment using a complex validation function and the concept of "trusted sources". Conclusions. The designed method provides a comprehensive solution that balances technical security aspects with regulatory requirements for personal data processing.