What we know
The study compares proposed metrics for honeyfile attributes—Common Token Count and Topic Semantic Matching for enticement, and coherence and cohesion for realism—against human users' perceptions as they judged text samples in a simulated data breach scenario on a crowd-sourcing platform. The authors report that Topic Semantic Matching aligned with perceived enticement, whereas results for Common Token Count were inconsistent and inconclusive, and coherence and cohesion did not consistently align with perceived realism.
Evidence limits
Review based solely on the Crossref deposited abstract; the full text was not consulted and the results were not independently validated.
Reviewed: author abstract. Full-text results were not analyzed.
Sources and provenance
- Evaluating Honeyfile Realism and Enticement Metrics
abstract · 2026-10-11
Reviewed: 2026-10-13. This record may change when new evidence is found.