Psychological Profiling in Cybersecurity: A Look at LLMs and Psycholinguistic Features
<|reference_start|>Psychological Profiling in Cybersecurity: A Look at LLMs and Psycholinguistic Features: The increasing sophistication of cyber threats necessitates innovative approaches to cybersecurity. In this paper, we explore the potential of psychological profiling techniques, particularly focusing on the utilization of Large Language Models (LLMs) and psycholinguistic features. We investigate the intersection of psychology and cybersecurity, discussing how LLMs can be employed to analyze textual data for identifying psychological traits of threat actors. We explore the incorporation of psycholinguistic features, such as linguistic patterns and emotional cues, into cybersecurity frameworks. Our research underscores the importance of integrating psychological perspectives into cybersecurity practices to bolster defense mechanisms against evolving threats.<|reference_end|>
@article{tshimula2024psychological,
    title={Psychological Profiling in Cybersecurity: A Look at LLMs and
  Psycholinguistic Features},
    author={Jean Marie Tshimula, D'Jeff K. Nkashama, Jean Tshibangu Muabila,
  Ren'e Manass'e Galekwa, Hugues Kanda, Maximilien V. Dialufuma, Mbuyi
  Mukendi Didier, Kalonji Kalala, Serge Mundele, Patience Kinshie Lenye,
  Tighana Wenge Basele, Aristarque Ilunga, Christian N. Mayemba, Nathana"el M.
  Kasoro, Selain K. Kasereka, Hardy Mikese, Pierre-Martin Tardif, Marc
  Frappier, Froduald Kabanza, Belkacem Chikhaoui, Shengrui Wang, Ali Mulenda
  Sumbu, Xavier Ndona, Raoul Kienge-Kienge Intudi},
    journal={arXiv preprint arXiv:2406.18783},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.18783},
    primaryClass={cs.CL cs.LG}
}