@inproceedings{newsham-etal-2024-measuring,
    title = "Measuring the Effect of Induced Persona on Agenda Creation in Language-based Agents for Cyber Deception",
    author = "Newsham, Lewis  and
      Prince, Daniel  and
      Hyland, Ryan",
    editor = "Mitkov, Ruslan  and
      Ezzini, Saad  and
      Ranasinghe, Tharindu  and
      Ezeani, Ignatius  and
      Khallaf, Nouran  and
      Acarturk, Cengiz  and
      Bradbury, Matthew  and
      El-Haj, Mo  and
      Rayson, Paul",
    booktitle = "Proceedings of the First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security",
    month = jul,
    year = "2024",
    address = "Lancaster, UK",
    publisher = "International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security",
    url = "https://preview.aclanthology.org/fix-sig-urls/2024.nlpaics-1.6/",
    pages = "48--58",
    abstract = "This paper presents the SANDMAN architecture for cyber deception, employing Language Agents to create convincing human simulacra. These ``Deceptive Agents'' serve as advanced cyber decoys, designed to engage attackers to extend the observation period of attack behaviours. This research demonstrates the viability of persona-driven Deceptive Agents to generate plausible human activity to enhance the effectiveness of cyber deception strategies. Through experimentation, measurement and analysis, we illustrate how a prompt schema induces specific ``personalities'', defined by the five-factor model of personality, in Large Language Models to generate measurably diverse, and plausible, behaviours."
}