| Title | Applying the Methods of Regression Analysis and Fuzzy Logic for Assessing the Information Security Risk of Complex Systems |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Kozlov, Aleksandr, Noga, Nikolai |
| Conference Name | 2021 14th International Conference Management of large-scale system development (MLSD) |
| Keywords | Analytical models, confidence interval, Costs, cross-correlation, Fuzzy logic, information resources, Information security, Metrics, multiple regression, Predictive models, pubcrawl, regression analysis, resilience, Resiliency, risk, security, Threat |
| Abstract | The proposed method allows us to determine the predicted value of the complex systems information security risk and its confidence interval using regression analysis and fuzzy logic in terms of the risk dependence on various factors: the value of resources, the level of threats, potential damage, the level of costs for creating and operating the system, the information resources control level. |
| DOI | 10.1109/MLSD52249.2021.9600245 |
| Citation Key | kozlov_applying_2021 |
Applying the Methods of Regression Analysis and Fuzzy Logic for Assessing the Information Security Risk of Complex Systems