@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://aclanthology.org/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."
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%0 Conference Proceedings
%T Measuring the Effect of Induced Persona on Agenda Creation in Language-based Agents for Cyber Deception
%A Newsham, Lewis
%A Prince, Daniel
%A Hyland, Ryan
%Y Mitkov, Ruslan
%Y Ezzini, Saad
%Y Ranasinghe, Tharindu
%Y Ezeani, Ignatius
%Y Khallaf, Nouran
%Y Acarturk, Cengiz
%Y Bradbury, Matthew
%Y El-Haj, Mo
%Y Rayson, Paul
%S Proceedings of the First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security
%D 2024
%8 July
%I International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security
%C Lancaster, UK
%F newsham-etal-2024-measuring
%X 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.
%U https://aclanthology.org/2024.nlpaics-1.6/
%P 48-58
Markdown (Informal)
[Measuring the Effect of Induced Persona on Agenda Creation in Language-based Agents for Cyber Deception](https://aclanthology.org/2024.nlpaics-1.6/) (Newsham et al., NLPAICS 2024)
ACL