Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
One of the measures to prevent multi-pass social engineering attacks is to identify the chains of user, which are most susceptible to such attacks. The aim of the study is to combine a mathematical model for estimating the probability of success of the propagation of a multi-pass social engineering attack between users with a model for calculating information influence. Namely, it is proposed to include in estimating the intensity of interactions between users (which used in the model of the propagation of a multi-pass social engineering attack) estimating of power of influence actions of agents. The scientific significance of the work consists in the development of a mathematical structure for modeling the actions of an attacker-social engineer and creating a foundation for the subsequent analysis of the social graph of the organization's employees. The practical significance lies in the formation of opportunities for decision-makers. Therefore, they will be able to take more precise measures for increase the level of security as individual employees as the organization generally.
Original language | English |
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Title of host publication | Proceedings of 2021 24th International Conference on Soft Computing and Measurements, SCM 2021 |
Editors | S. Shaposhnikov |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 49-51 |
Number of pages | 3 |
ISBN (Electronic) | 9781665439749 |
DOIs | |
State | Published - 26 May 2021 |
Event | 24th International Conference on Soft Computing and Measurements, SCM 2021 - St. Petersburg, Russian Federation Duration: 26 May 2021 → 28 May 2021 |
Conference | 24th International Conference on Soft Computing and Measurements, SCM 2021 |
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Country/Territory | Russian Federation |
City | St. Petersburg |
Period | 26/05/21 → 28/05/21 |
ID: 87278331