BLOCKCHAIN-BASED TECHNOLOGY FOR SECURITY PROCESSING OF PERSONAL DATA

The paper presents the developed approach of creating a decentralization personal data information system, based on the blockchain technology. The approach includes proposals for overall system architecture specification, data storage procedure, users' fee, consensus mechanism, and system implementation and enhancement. Data storage is provided with the use of personal users' devices and information cryptographic protection facilities. The users' fee mechanism is based on the social credit system, employed in China, which ensures the selection of the most trustworthy personal data subjects able to play the role of consensus nodes. Consensus procedure includes automated risk analysis of unreliable data processing. A neural network theory and fuzzy set theory are proposed as the mathematical tools of risk analysis. The use of an artificial neural network provides flexibility of the system as a whole in terms of the growing number of users. The proposed approach application for decentralization information system design will provide for improvement of availability, integrity and confidentiality of data through decentralized processing and application of well-studied cryptographic protection methods.