Development of a Method for Constructing Linguistic Standards for Multi-Criteria Assessment of Honeypot Efficiency
Korchenko A. Breslavskyi V. Yevseiev S. Zhumangalieva N. Zvarych A. Kazmirchuk S. Kurchenko O. Laptiev O. Sievierinov O. Tkachuk S.
26 February 2021Technology Center
Eastern-European Journal of Enterprise Technologies
2021#1Issue 2(109)14 - 23 pp.
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
fuzzy standards , honeypot classification , method of forming linguistic standards , virtual decoys
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Department of Information Technology Security, National Aviation University, Liubomyra Huzara ave., 1, Kyiv, 03058, Ukraine
Ukrainian State Centre of Radio Frequencies, Peremohy ave., 151, Kyiv, 03179, Ukraine
Department of Cyber Security and Information Technology, Simon Kuznets Kharkiv National University of Economics, Nauky ave., 9-A, Kharkiv, 61166, Ukraine
Satbayev University, T. K. Zhurgenov Kazakh National Academy of Arts, Satpaev str., 22a, Panfilova str., 127, Almaty, 050013, Kazakhstan
Central Scientific Research Institute of Armament and Military Equipment of the Armed Forces of Ukraine, Povitroflotsky ave., 28b, Kyiv, 03049, Ukraine
Department of Computerized Information Protection Systems, National Aviation University, Liubomyra Huzara ave., 1, Kyiv, 03058, Ukraine
Department of Programming and Computer Equipment, Taras Shevchenko National University of Kyiv, Volodymyrska str., 60, Kyiv, 01033, Ukraine
Department of Information and Cybersecurity Systems, Institute of Information Protection State University of Telecommunications, Solomenska str., 7, Kyiv, 03110, Ukraine
Department of Information Technologies Security, Kharkiv National University of Radio Electronics, Nauky ave., 14, Kharkiv, 61166, Ukraine
Department of Military Training, Vinnytsia National Technical University, Khmelnytske shose str., 95, Vinnytsia, 21000, Ukraine
Department of Information Technology Security
Ukrainian State Centre of Radio Frequencies
Department of Cyber Security and Information Technology
Satbayev University
Central Scientific Research Institute of Armament and Military Equipment of the Armed Forces of Ukraine
Department of Computerized Information Protection Systems
Department of Programming and Computer Equipment
Department of Information and Cybersecurity Systems
Department of Information Technologies Security
Department of Military Training
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