Page 1 of 1

Methods and tools for assessing possible damage from the implementation of COVID-19 threats

Posted: Tue Feb 11, 2025 5:53 am
by rakhirhif8963
According to Denis Sukhovey, a number of analysis methods are currently used to determine the possible damage from the implementation of COVID-19 threats: a full-scale experiment, mathematical modeling, and expert methods. “The essence of a full-scale experiment is to prepare a full-fledged copy of a real protected object, taking into account the relationships between the components of the object and other objects of a certain system. The resulting model allows simulating possible actions of intruders who gain unauthorized access to the protected object. The modeling results are statistically processed, and practical recommendations for ensuring information security are developed based on this information.

As for mathematical modeling, this is the process of estonia whatsapp data the compliance of a real protected object with a certain mathematical model. The model is then subjected to analysis of possible actions of an intruder to change its various characteristics. And finally, the expert method involves interviewing specialists and information owners with the subsequent creation of an information base to be analyzed. During the analysis, certain economic indicators of the protected object are taken as a basis. Then, the specialists express their opinion on the relative decrease in these indicators as a result of the expected implementation of COVID-19 threats. “The final conclusions are determined on the basis of average values,” he explained.

In order to forecast and assess the damage that may be caused by the implementation of COVID-19 threats, Kirill Shchukin suggests using expert, analytical and economic-mathematical methods and regularly conducting business process analysis in order to understand what data is a critical asset for the company and to assess the damage based on this, taking into account, however, that the assessment models used are highly dependent on current industry standards. Reputational risks, in his opinion, are difficult to measure, but are easily felt by companies in the long term.