Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › Рецензирование
An approach to estimating of criticality of social engineering attacks traces. / Khlobystova, Anastasiia ; Abramov, Maxim ; Tulupyev, Alexander .
Recent Research in Control Engineering and Decision Making: Conference proceedings ICIT 2019. Cham : Springer Nature, 2019. стр. 446-456 (Studies in Systems, Decision and Control; Том 199).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › Рецензирование
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TY - GEN
T1 - An approach to estimating of criticality of social engineering attacks traces
AU - Khlobystova, Anastasiia
AU - Abramov, Maxim
AU - Tulupyev, Alexander
N1 - Khlobystova A., Abramov M., Tulupyev A. (2019) An Approach to Estimating of Criticality of Social Engineering Attacks Traces. In: Dolinina O., Brovko A., Pechenkin V., Lvov A., Zhmud V., Kreinovich V. (eds) Recent Research in Control Engineering and Decision Making. ICIT 2019. Studies in Systems, Decision and Control, vol 199. Springer, Cham
PY - 2019
Y1 - 2019
N2 - In this article we propose to consider the trajectories of social engineering attacks, which are the most critical from the point of view of the expected damage to the organization, and not from the point of view of the probability of success of the defeat of the user and, indirectly, critical documents to which he has access. The article proposes an approach to solving the problem of identifying the most critical path of multiway socio-engineering attack. The most critical trajectory in this article is understood as the most probable trajectory of the attack, which will bring the greatest damage to the organization. As a further development of the research direction, we can consider models that describe in more detail the context and take into account the distribution of the probability of hitting the proportion of documents available to the user, offering models for building integrated damage estimates associated with the affected user, various access policies and accounting for the hierarchy of documents in terms of their criticality or value.
AB - In this article we propose to consider the trajectories of social engineering attacks, which are the most critical from the point of view of the expected damage to the organization, and not from the point of view of the probability of success of the defeat of the user and, indirectly, critical documents to which he has access. The article proposes an approach to solving the problem of identifying the most critical path of multiway socio-engineering attack. The most critical trajectory in this article is understood as the most probable trajectory of the attack, which will bring the greatest damage to the organization. As a further development of the research direction, we can consider models that describe in more detail the context and take into account the distribution of the probability of hitting the proportion of documents available to the user, offering models for building integrated damage estimates associated with the affected user, various access policies and accounting for the hierarchy of documents in terms of their criticality or value.
KW - multi-pass social engineering attacks, social graph of company employees, critical trajectories in social graph, social engineering attacks, users protect, information security
KW - Critical trajectories in social graph
KW - Information security
KW - Multi-pass social engineering attacks
KW - Social engineering attacks
KW - Social graph of company employees
KW - Users protect
UR - http://www.scopus.com/inward/record.url?scp=85061352551&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-12072-6_36
DO - 10.1007/978-3-030-12072-6_36
M3 - Conference contribution
SN - 9783030120719
T3 - Studies in Systems, Decision and Control
SP - 446
EP - 456
BT - Recent Research in Control Engineering and Decision Making
PB - Springer Nature
CY - Cham
Y2 - 7 February 2019 through 8 February 2019
ER -
ID: 50725977