Development of a Method for Constructing Linguistic Standards for Multi-Criteria Assessment of Honeypot Efficiency

Eastern-European Journal of Enterprise Technologies, 1 (2 (109)), 14-23, 2021. doi. 10.15587/1729-4061.2021.225346

Posted: 28 Mar 2021

See all articles by Anna Korchenko

Anna Korchenko

National Aviation University

Vladyslav Breslavskyi

Ukrainian State Centre of Radio Frequencies

Serhii Yevseiev

Simon Kuznets Kharkiv National University of Economics

Nazym Zhumangalieva

Satbayev University

Anatolii Zvarych

Central Research Institute of the Armed Forces of Ukraine

Svitlana Kazmirchuk

National Aviation University

Oleg Kurchenko

Taras Shevchenko National University of Kyiv

Oleksandr Laptiev

State University of Telecommunications

Оleksand Sievierinov

Kharkiv National University of Radio Electronics

Sirhii Tkachuk

Vinnytsia National Technical University

Date Written: February 26, 2021

Abstract

One of the pressing areas that is developing in the field of information security is associated with the use of Honeypots (virtual decoys, online traps), and the selection of criteria for determining the most effective Honeypots and their further classification is an urgent task. The main products that implement virtual decoy technologies are presented. They are often used to study the behavior, approaches and methods that an unauthorized party uses to gain unauthorized access to information system resources. Online hooks can simulate any resource, but more often they look like real production servers and workstations. A number of fairly effective developments are known that are used to solve the problems of detecting attacks on information system resources, which are based on the apparatus of fuzzy sets. They showed the effectiveness of the appropriate mathematical apparatus, the use of which, for example, to formalize the approach to the formation of a set of reference values that will improve the process of determining the most effective Honeypots. For this purpose, many characteristics have been formed (installation and configuration process, usage and support process, data collection, logging level, simulation level, interaction level) that determine the properties of online traps. These characteristics became the basis for developing a method for the formation of standards of linguistic variables for further selection of the most effective Honeypots. The method is based on the formation of a Honeypots set, subsets of characteristics and identifier values of linguistic estimates of the Honeypot characteristics, a base and derived frequency matrix, as well as on the construction of fuzzy terms and reference fuzzy numbers with their visualization. This will allow classifying and selecting the most effective virtual baits in the future.

Keywords: honeypot classification, virtual decoys, fuzzy standards, method of forming linguistic standards

Suggested Citation

Korchenko, Anna and Breslavskyi, Vladyslav and Yevseiev, Serhii and Zhumangalieva, Nazym and Zvarych, Anatolii and Kazmirchuk, Svitlana and Kurchenko, Oleg and Laptiev, Oleksandr and Sievierinov, Оleksand and Tkachuk, Sirhii, Development of a Method for Constructing Linguistic Standards for Multi-Criteria Assessment of Honeypot Efficiency (February 26, 2021). Eastern-European Journal of Enterprise Technologies, 1 (2 (109)), 14-23, 2021. doi. 10.15587/1729-4061.2021.225346, Available at SSRN: https://ssrn.com/abstract=3801035

Anna Korchenko (Contact Author)

National Aviation University ( email )

Liubomyra Huzara ave., 1
Kyiv, 03058
Ukraine

Vladyslav Breslavskyi

Ukrainian State Centre of Radio Frequencies ( email )

Peremohy ave., 151
Kyiv, 03179
Ukraine

Serhii Yevseiev

Simon Kuznets Kharkiv National University of Economics ( email )

9-A Nauky Avenue
Kharkiv, 61166
Ukraine

Nazym Zhumangalieva

Satbayev University ( email )

Satpayeva str., 22
Almaty, 050013
Kazakhstan

Anatolii Zvarych

Central Research Institute of the Armed Forces of Ukraine ( email )

Povitroflotsky ave., 28b
Kyiv, 03049
Ukraine

Svitlana Kazmirchuk

National Aviation University ( email )

Liubomyra Huzara ave., 1
Kyiv, 03058
Ukraine

Oleg Kurchenko

Taras Shevchenko National University of Kyiv ( email )

вул. Володимирська, 60
Kyiv, 01601
Ukraine

Oleksandr Laptiev

State University of Telecommunications ( email )

Kyiv
Ukraine

Оleksand Sievierinov

Kharkiv National University of Radio Electronics ( email )

14 Nauka Av.
Kharkov, 61166
Ukraine

Sirhii Tkachuk

Vinnytsia National Technical University ( email )

Vinnytsia
Ukraine

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