Act as a Honeytoken Generator! An Investigation into Honeytoken Generation with Large Language Models
Daniel Reti, Norman Becker, Tillmann Angeli, Anasuya Chattopadhyay, Daniel Schneider, Sebastian Vollmer, Hans Dieter Schotten · 2024
With the increasing prevalence of security incidents, the adoption of deception-based defense strategies has become pivotal in cybersecurity. This work addresses the challenge of scalability in designing honeytokens, a key component of such defense mechanism. The manual creation of honeytokens is a tedious task. Although automated generators exists, they often lack versatility, being specialized for specific types of honeytokens, and heavily rely on suitable training datasets.