COMPARATIVE REVIEW OF RESULTS INTELLECTUAL ACTIVITY OF RUSSIAN SCIENTISTS ON IDENTIFYING INSIDERS IN ORGANIZATIONS-Reference-Cited by-同舟云学术

COMPARATIVE REVIEW OF RESULTS INTELLECTUAL ACTIVITY OF RUSSIAN SCIENTISTS ON IDENTIFYING INSIDERS IN ORGANIZATIONS

Published:2024-07-14 Issue:2 Volume:2024 Page:136-145
ISSN:2218-130X
Container-title:Scientific and analytical journal «Vestnik Saint-Petersburg university of State fire service of EMERCOM of Russia»
language:en
Short-container-title:

Author:

Vlasov Dmitry¹^ORCID

Affiliation:

1. Main directorate of EMERCOM of Russia in the Saint-Petersburg city

Abstract

The work is devoted to the task of detecting insiders in an organization, thereby increasing the information security of its resources. To do this, a review of the results of intellectual activity (certificates of state registration of programs and databases, patents for utility models) of Russian scientists in the Russian science citation indexwas carried out using the keywords «insider (as noun)» (7 publications) and «insider (as adjective)» (10 publications). All solutions found are systematized in tabular form according to criteria such as year of publication, type, programming language, international patent classification and scope. A number of the following fundamental conclusions have been made: demand for practical solutions, a slight increasing trend in the relevance of the problem, the preference for using the programming languages «C++» and «C#», patenting mainly solutions for theft alarms, the main application in the field of assessing the personal and behavioral characteristics of employees.

Publisher

St. Petersburg University of the State Fire Service of EMERCOM of Russia

Reference21 articles.

1. Власов Д.С. К вопросу о мотивации инсайдера организации и способах его классификации // Электронный сетевой политематический журнал «Научные труды КубГТУ». 2022. № 1. С. 128–147., Vlasov D.S. K voprosu o motivacii insajdera organizacii i sposobah ego klassifikacii // Elektronnyj setevoj politematicheskij zhurnal «Nauchnye trudy KubGTU». 2022. № 1. S. 128–147.

2. Буйневич М.В., Власов Д.С. Аналитическим обзор моделей инсайдеров информационных систем // Информатизация и связь. 2020. № 6. С. 92–98., Bujnevich M.V., Vlasov D.S. Analiticheskim obzor modelej insajderov informacionnyh sistem // Informatizaciya i svyaz'. 2020. № 6. S. 92–98.

3. Буйневич М.В., Власов Д.С. Сравнительный обзор способов выявления инсайдеров в информационных системах // Информатизация и связь. 2019. № 2. С. 83–91., Bujnevich M.V., Vlasov D.S. Sravnitel'nyj obzor sposobov vyyavleniya insajderov v informacionnyh sistemah // Informatizaciya i svyaz'. 2019. № 2. S. 83–91.

4. Approach to combining different methods for detecting insiders / М. Buinevich [et al.] // ACM International Conference Proceeding Series: 4. 2020. P. 3442619. DOI: 10.1145/3440749.3442619., Approach to combining different methods for detecting insiders / M. Buinevich [et al.] // ACM International Conference Proceeding Series: 4. 2020. P. 3442619. DOI: 10.1145/3440749.3442619.

5. Ушаков И.А., Котенко И.В., Твердохлебова Ю.В. Система обнаружения инсайдеров в корпоративной компьютерной сети с использованием технологий машинного обучения: св-во о гос. рег. программы для ЭВМ № 2019666738 от 5 дек. 2019 г., Ushakov I.A., Kotenko I.V., Tverdohlebova Yu.V. Sistema obnaruzheniya insajderov v korporativnoj komp'yuternoj seti s ispol'zovaniem tekhnologij mashinnogo obucheniya: sv-vo o gos. reg. programmy dlya EVM № 2019666738 ot 5 dek. 2019 g.