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Mechanisms of Information Reliability in BigData and Blockchain Technologies

Akmal AkhatovSamarkand State University, Samarkand, UzbekistanFayzullo Makhmadiyarovich NazarovSamarkand State University, Samarkand, UzbekistanAkbar RashidovSamarkand State University, Samarkand, Uzbekistan
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Abstract

This study examines the directions and mechanisms for improving data reliability in Bigdata and blockchain technologies. Currently, there is a sharp increase in data flow, data processing is performed in computer networks, and an increase in the volume of data also leads to an increase in the problem of data reliability. It is important to identify solutions based on the use of modern technologies to solve these problems. Observations show that data reliability violations are mainly observed in three areas, namely due to artificial and natural redundancy in data transmission, the integrity of interconnected data in data transmission and storage, and errors in large-scale data processing. The features and capabilities of Bigdata class data and blockchain technology to improve data reliability were mentioned. Data from the Bigdata class was analyzed to improve the reliability of data based on blockchain mechanisms.

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