Application of the Altematives Method Probabilities in Construction of Intensity of User Communications Estimates

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

1 Цитирования (Scopus)

Аннотация

One of the most topical issues in the field of cybersecurity is a steady increasing numbers of successful social engineering attacks. For assessment of information system, users require the ability to assess of the intensity of user communications in social networks. However, this information is a set of linguistic variables and requires quantification. The purpose of this article is to propose approach to assignment of model parameters for estimates of the probability of multiway social engineering attack. To achieve this goal, the three different modifications of the method by Khovanov were proposed. The modifications are based on the assumption that experts could not only rank the linguistic variables, but give it rough estimates, thereby considerably empower for following quantification. Theoretical relevance of the research is a new approach to getting probability estimates from non-numeric information. Practical relevance of the research is to building a foundation for following use on the evaluation of the probability of propagation of multiway social engineering attacks and analysis of the social graph of organization employees. Thereby we lay the basis of subsequent diagnostics of information systems to identify vulnerabilities to social engineering attacks, as well as to solve social computing problems.

Язык оригиналаанглийский
Название основной публикацииProceedings of 2020 23rd International Conference on Soft Computing and Measurements, SCM 2020
РедакторыS. Shaposhnikov
ИздательInstitute of Electrical and Electronics Engineers Inc.
Страницы37-40
Число страниц4
ISBN (электронное издание)9781728196923
DOI
СостояниеОпубликовано - мая 2020
Событие23rd International Conference on Soft Computing and Measurements, SCM 2020 - St. Petersburg, Российская Федерация
Продолжительность: 27 мая 202029 мая 2020

Серия публикаций

НазваниеProceedings of 2020 23rd International Conference on Soft Computing and Measurements, SCM 2020

конференция

конференция23rd International Conference on Soft Computing and Measurements, SCM 2020
Страна/TерриторияРоссийская Федерация
ГородSt. Petersburg
Период27/05/2029/05/20

Предметные области Scopus

  • Вычислительная математика
  • Теория оптимизации
  • Прикладные компьютерные науки
  • Моделирование и симуляция
  • Теория принятия решений (разное)
  • Контрольно-измерительные инструменты

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