Personality Emulation Utilizing Large Language Models
Fake identities have proven to be an effective methodology for conducting privacy and cybersecurity research; however, existing models are limited in their ability to interact with and respond to received communications. To perform privacy research in more complex Internet domains, withstand enhance...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-06-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/12/6636 |
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| _version_ | 1849433619018285056 |
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| author | Jack Kolenbrander Alan J. Michaels |
| author_facet | Jack Kolenbrander Alan J. Michaels |
| author_sort | Jack Kolenbrander |
| collection | DOAJ |
| description | Fake identities have proven to be an effective methodology for conducting privacy and cybersecurity research; however, existing models are limited in their ability to interact with and respond to received communications. To perform privacy research in more complex Internet domains, withstand enhanced scrutiny, and persist long-term, fake identities must be capable of automatically generating responses while maintaining consistent behavior and personality. This work proposes a method for assigning personality to fake identities using the widely accepted psychometric Big Five model. Leveraging this model, the potential application of large language models (LLMs) to generate email responses that emulate human personality traits is investigated to enhance fake identity capabilities for privacy research at scale. |
| format | Article |
| id | doaj-art-4f2b980374ca41dfac53163c718170f7 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-4f2b980374ca41dfac53163c718170f72025-08-20T03:26:57ZengMDPI AGApplied Sciences2076-34172025-06-011512663610.3390/app15126636Personality Emulation Utilizing Large Language ModelsJack Kolenbrander0Alan J. Michaels1Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA 24061, USABradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA 24061, USAFake identities have proven to be an effective methodology for conducting privacy and cybersecurity research; however, existing models are limited in their ability to interact with and respond to received communications. To perform privacy research in more complex Internet domains, withstand enhanced scrutiny, and persist long-term, fake identities must be capable of automatically generating responses while maintaining consistent behavior and personality. This work proposes a method for assigning personality to fake identities using the widely accepted psychometric Big Five model. Leveraging this model, the potential application of large language models (LLMs) to generate email responses that emulate human personality traits is investigated to enhance fake identity capabilities for privacy research at scale.https://www.mdpi.com/2076-3417/15/12/6636large language modelsfake identitiesprivacy researchactive OSINTbig five personality modelartificial intelligence |
| spellingShingle | Jack Kolenbrander Alan J. Michaels Personality Emulation Utilizing Large Language Models Applied Sciences large language models fake identities privacy research active OSINT big five personality model artificial intelligence |
| title | Personality Emulation Utilizing Large Language Models |
| title_full | Personality Emulation Utilizing Large Language Models |
| title_fullStr | Personality Emulation Utilizing Large Language Models |
| title_full_unstemmed | Personality Emulation Utilizing Large Language Models |
| title_short | Personality Emulation Utilizing Large Language Models |
| title_sort | personality emulation utilizing large language models |
| topic | large language models fake identities privacy research active OSINT big five personality model artificial intelligence |
| url | https://www.mdpi.com/2076-3417/15/12/6636 |
| work_keys_str_mv | AT jackkolenbrander personalityemulationutilizinglargelanguagemodels AT alanjmichaels personalityemulationutilizinglargelanguagemodels |