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Behavioral Study of Users When Interacting with Active Honeytokens

This article studies how users, such as employees, interact with active honeytokens, meaning fake data objects planted among real data to detect data misuse by insiders. The authors describe an automated, generic method for generating those honeytokens and present two behavioral studies examining whether users can distinguish them from real objects and whether user behavior changes when users are informed that monitored honeytokens are present.

Honeytoken

What we know

This article studies how users, such as employees, interact with active honeytokens, meaning fake data objects planted among real data to detect data misuse by insiders. The authors describe an automated, generic method for generating those honeytokens and present two behavioral studies examining whether users can distinguish them from real objects and whether user behavior changes when users are informed that monitored honeytokens are present.

Evidence limits

This entry is based only on the deposited abstract and archived Crossref metadata, not on full-text reading or independent validation of results.

Reviewed: author abstract. Full-text results were not analyzed.

Sources and provenance

  1. Behavioral Study of Users When Interacting with Active Honeytokens
    abstract · 2026-10-11

Reviewed: 2026-10-13. This record may change when new evidence is found.

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