What we know
The work addresses the selection and classification of honeypots (virtual decoys, online traps) by their effectiveness, using characteristics such as installation and configuration, usage and support, data collection, logging level, simulation level and interaction level. The authors describe a method that forms a set of honeypots, subsets of characteristics and identifier values of linguistic estimates, base and derived frequency matrices, and fuzzy terms and reference fuzzy numbers with their visualization, in order to construct linguistic standards for multi-criteria assessment.
Evidence limits
Review limited to the deposited bibliographic metadata and abstract archived in Crossref; the full text was not examined and results were not independently validated.
Reviewed: author abstract. Full-text results were not analyzed.
Sources and provenance
- Development of a method for constructing linguistic standards for multi-criteria assessment of honeypot efficiency
abstract · 2026-10-11
Reviewed: 2026-10-16. This record may change when new evidence is found.