Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › глава/раздел › Рецензирование
Automated Player Activity Analysis for a Serious Game About Social Engineering. / Krylov, Boris; Abramov, Maxim; Khlobystova, Anastasia.
Studies in Systems, Decision and Control. Springer Nature, 2020. стр. 587-599 (Studies in Systems, Decision and Control; Том 337).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › глава/раздел › Рецензирование
}
TY - CHAP
T1 - Automated Player Activity Analysis for a Serious Game About Social Engineering
AU - Krylov, Boris
AU - Abramov, Maxim
AU - Khlobystova, Anastasia
N1 - Publisher Copyright: © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2020/12/2
Y1 - 2020/12/2
N2 - This article proposes a mathematical model that helps to track a player’s game actions and present them in a structured form. The gaming process is presented as a set of states that are connected by a player’s actions. Each state is a set of predicates that characterize the player’s knowledge about the game. This mathematical model was developed as a step in achieving the general goal of the research branch, which is to increase the safety of an information system from social engineering attacks by developing a serious game. This serious game is aimed at improving players’ skills in recognition and counteraction to social engineering attacks as well as at raising awareness among employees.
AB - This article proposes a mathematical model that helps to track a player’s game actions and present them in a structured form. The gaming process is presented as a set of states that are connected by a player’s actions. Each state is a set of predicates that characterize the player’s knowledge about the game. This mathematical model was developed as a step in achieving the general goal of the research branch, which is to increase the safety of an information system from social engineering attacks by developing a serious game. This serious game is aimed at improving players’ skills in recognition and counteraction to social engineering attacks as well as at raising awareness among employees.
KW - Game environment for social engineering attacks
KW - Graph theory
KW - Information security
KW - Social engineering attacks
KW - User protection
UR - http://www.scopus.com/inward/record.url?scp=85097282663&partnerID=8YFLogxK
UR - https://link.springer.com/chapter/10.1007/978-3-030-65283-8_48
UR - https://www.mendeley.com/catalogue/90add299-6e4c-351f-88d6-bdf96cb3b2dd/
U2 - 10.1007/978-3-030-65283-8_48
DO - 10.1007/978-3-030-65283-8_48
M3 - Chapter
AN - SCOPUS:85097282663
T3 - Studies in Systems, Decision and Control
SP - 587
EP - 599
BT - Studies in Systems, Decision and Control
PB - Springer Nature
ER -
ID: 87278585