Information Security Challenges in Climate Monitoring Data Processing System12

The growing number of adverse natural phenomena stimulates the introduction of new methods of data processing in systems for analyzing and modeling natural phenomena. Such methods include machine learning technologies, BigData, heuristic and statistical modeling, as well as combinations of existing methods that require significant computing resources. The article examines the technological workflow of processing climate observation data on high-performance computing resources for collective use using data storage systems distributed in a corporate network with access channels of varying performance and various administrative policies. The article considers the problems of ensuring secure access to data, guaranteeing full control from the point of view of the data owner, both during storage and in the process of modeling and visualization.