Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › Рецензирование
Multistep social engineering attacks (that involve a chain of users) are a serious threat to an organization’s information security. Usually such attacks require an integrated approach to reduce the probability of their success. This approach can be analysis of the social graph with modeling of scenarios for the spread of multistep social engineering attacks, highlighting the most critical among them, the development of ways to reduce criticality and directly implement the most effective measures. The goal of this work was to improve the approach to modeling multistep social engineering attack by including the factor of accidents in the model of a malefactor’s actions. The novelty of the research lies in the proposal of the new approach to the analysis of multistep social engineering attacks, taking into account the factor of accidents of the malefactor’s actions. The theoretical significance of the work is to create a foundation for further modeling and analysis of multistep social engineering attacks. The practical significance of the study lies in the formation of a tool for a comprehensive analysis of the organization to identify the most critical scenarios for the development of social engineering attacks.
Язык оригинала | английский |
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Название основной публикации | Proceedings of the 5th International Scientific Conference “Intelligent Information Technologies for Industry”, IITI 2021 |
Редакторы | Sergey Kovalev, Valery Tarassov, Vaclav Snasel, Andrey Sukhanov |
Издатель | Springer Nature |
Страницы | 216-223 |
Число страниц | 8 |
ISBN (печатное издание) | 9783030871772 |
DOI | |
Состояние | Опубликовано - 2022 |
Событие | 5th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2021 - Sochi, Российская Федерация Продолжительность: 30 сен 2021 → 4 окт 2021 |
Название | Lecture Notes in Networks and Systems |
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Том | 330 LNNS |
ISSN (печатное издание) | 2367-3370 |
ISSN (электронное издание) | 2367-3389 |
конференция | 5th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2021 |
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Страна/Tерритория | Российская Федерация |
Город | Sochi |
Период | 30/09/21 → 4/10/21 |
ID: 87278260