Problem of Developing an Early-Warning Cybersecurity System for Critically Important Governmental Information Assets

The article considers possible solutions of to the relatively new scientific-technical problem of developing an earlywarning cybersecurity system for critically important governmental information assets. The solutions proposed are based on the results of exploratory studies conducted by the authors in the areas of Big data acquisition, cognitive information technologies (cogno-technologies), and “computational cognitivism,” involving a number of existing models and methods. The results obtained permitted the design of an early-warning cybersecurity system. Keywords—Сyberspace; critically important infrastructure; information confrontation; hybrid wars; cyberattacks; information security; cybersecurity system; early-warning; Big Data; Big Data Analytics; cogno-technologies; computational cognitivism; scenarios of an early-warning; synthesize scenarios.

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