At the moment, in the conditions of an actively developing information society, information is becoming a necessary factor of production, therefore ensuring the safety of data is an important issue. The article is devoted to the topical, today, problems associated with threats in the field of data storage. The definition of the concept of threat in the field of data storage is given; classification by types of threats is proposed; the following classes of threats in the field of data storage are distinguished: spatial, communicative, destructive; the actual components of threats are described. Based on the analysis of threats in the field of data storage, algorithms for ensuring the safety of information will be developed in the future.

Keywords: information, data, data storage, data safety, data integrity, data storage threats, data integrity threats

In this paper, the task of territorial planning of road transport enterprises is considered, taking into account modern requirements for the development of the urban environment. Methods for solving problems of territorial planning using geographic information technologies are highlighted. The work identified the factors of placement inherent in this subject area and characterized by spatial, temporal, pragmatic characteristics. Given the spatial nature of the task and the input data, it is proposed to use geoinformation modeling as an effective means of solving problems, which are based on geodata. The model of a geographic information system is presented as a combination of a model of visualization and consideration of spatial distribution factors, including sets of production rules. This model also contains a block of regulatory data that regulates the process of land use and allows us to evaluate the suitability of a particular site. The process of visual analysis is described and the main elements of the visualization model are identified. The totality of the data components of the geo-information model makes it possible to take into account heterogeneous information, conduct its complex analysis and make better decisions.

Keywords: geoinformation modeling, spatial planning, automobile transportation company, visualization, location factor