Using logical-cognitive approaches to information protection in automatic ordering at printing companies

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Шепіта П. І., Тупичак Л. Л. № 2 (82) 74-91 Image Image

The subject of scientific works on introduction of modern technologies and systems of automated management of the company, its resources and technical means is analysed and insufficient completeness of researches on features of the complex approach at designing and deployment of innovative means of the production order support is shown. On the basis of certain factors of the company functioning in the newest conditions of the fourth industrial revolution the directions of strategies formation of elements introduction of Industry 4.0 in modern printing companies, and also systems of the information protection at electronic document circulation are caused.

Mechanisms for solving the problems of information risk management in complex management systems of printing enterprises in conditions of uncertainty and in the event of mutual influence of the management system elements on each other are considered. The necessity of using the web portal for formation of printing orders is substantiated, the main components are defined and the levels of access to them are described.

To increase the efficiency of information security of the company intelligent management system, one of the logical-cognitive directions is used - fuzzy logical-cognitive model, which consists in combining the information about the content of threats, vulnerabilities and means of protection. The proposed approaches allowed one to consider the impact of potential attacks on basic information security services. In the process, the principles of information protection in human-independent systems in the automated processing of orders at printing companies are substantiated, based on logical-cognitive methods of assessing the quality of minimizing the risk of loss or modification of information and illegal data acquisition.

Keywords: intelligent control system, web portal, order, non-clear logical-cognitive model, information protection.

doi: 10.32403/0554-4866-2021-2-82-74-91


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