Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › Рецензирование
An approach to building a probabilistic model of spreading a social engineering attack between two users. / Хлобыстова, Анастасия Олеговна; Абрамов, Максим Викторович; Тулупьев, Александр Львович.
Russian Advances in Fuzzy Systems and Soft Computing: Selected Contributions to the 10th International Conference on "Integrated Models and Soft Computing in Artificial Intelligence", IMSC 2021. . Том 2965 2021. стр. 53-58 (CEUR Workshop Proceedings; Том 2965).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › Рецензирование
}
TY - GEN
T1 - An approach to building a probabilistic model of spreading a social engineering attack between two users
AU - Хлобыстова, Анастасия Олеговна
AU - Абрамов, Максим Викторович
AU - Тулупьев, Александр Львович
N1 - Publisher Copyright: © 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
PY - 2021
Y1 - 2021
N2 - The article proposes an approach to building probabilistic estimates of the spread of a social engineering attack between two users, which takes into account the informational influence of users. The theoretical significance of the study lies in creating a basis for the subsequent modeling of multi-step social engineering attacks. The practical significance lies in the formation of a base for software automation of identification of the most probable and critical scenarios for the spread of social engineering attacks, and, as a consequence, the creation of a tool that helps decision-makers to take effective measures to eliminate vulnerabilities.
AB - The article proposes an approach to building probabilistic estimates of the spread of a social engineering attack between two users, which takes into account the informational influence of users. The theoretical significance of the study lies in creating a basis for the subsequent modeling of multi-step social engineering attacks. The practical significance lies in the formation of a base for software automation of identification of the most probable and critical scenarios for the spread of social engineering attacks, and, as a consequence, the creation of a tool that helps decision-makers to take effective measures to eliminate vulnerabilities.
KW - Attack spread estimate
KW - Informational influence
KW - Probabilistic model
KW - Social engineering attacks
UR - http://www.scopus.com/inward/record.url?scp=85116614412&partnerID=8YFLogxK
M3 - Conference contribution
VL - 2965
T3 - CEUR Workshop Proceedings
SP - 53
EP - 58
BT - Russian Advances in Fuzzy Systems and Soft Computing: Selected Contributions to the 10th International Conference on "Integrated Models and Soft Computing in Artificial Intelligence", IMSC 2021.
Y2 - 17 May 2021 through 20 May 2021
ER -
ID: 87282850