Modeling the Structures of Threats to Information Security Risks based on a Fuzzy Approach
| Title | Modeling the Structures of Threats to Information Security Risks based on a Fuzzy Approach |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Volkov, A. I., Semin, V. G., Khakimullin, E. R. |
| Conference Name | 2020 International Conference Quality Management, Transport and Information Security, Information Technologies (IT QM IS) |
| Date Published | Sept. 2020 |
| Publisher | IEEE |
| ISBN Number | 978-1-7281-8179-0 |
| Keywords | Aggregates, expert systems, fuzzy conclusion, Human Behavior, Information security, Input variables, Linguistics, Probabilistic logic, pubcrawl, resilience, Resiliency, risk, risk management, Scalability, security, structure, Synthesis, Threat |
| Abstract | The article deals with the development and implementation of a method for synthesizing structures of threats and risks to information security based on a fuzzy approach. We consider a method for modeling threat structures based on structural abstractions: aggregation, generalization, and Association. It is shown that the considered forms of structural abstractions allow implementing the processes of Ascending and Descending inheritance. characteristics of the threats. A database of fuzzy rules based on procedural abstractions has been developed and implemented in the fuzzy logic tool environment Fussy Logic. |
| URL | https://ieeexplore.ieee.org/document/9322869 |
| DOI | 10.1109/ITQMIS51053.2020.9322869 |
| Citation Key | volkov_modeling_2020 |