Psychological Profiling in Cybersecurity: A Look at LLMs and Psycholinguistic Features
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arXiv
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866929454231584768 |
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| author | Tshimula, Jean Marie Nkashama, D'Jeff K. Muabila, Jean Tshibangu Galekwa, René Manassé Kanda, Hugues Dialufuma, Maximilien V. Didier, Mbuyi Mukendi Kalala, Kalonji Mundele, Serge Lenye, Patience Kinshie Basele, Tighana Wenge Ilunga, Aristarque Mayemba, Christian N. Kasoro, Nathanaël M. Kasereka, Selain K. Mikese, Hardy Tardif, Pierre-Martin Frappier, Marc Kabanza, Froduald Chikhaoui, Belkacem Wang, Shengrui Sumbu, Ali Mulenda Ndona, Xavier Intudi, Raoul Kienge-Kienge |
| author_facet | Tshimula, Jean Marie Nkashama, D'Jeff K. Muabila, Jean Tshibangu Galekwa, René Manassé Kanda, Hugues Dialufuma, Maximilien V. Didier, Mbuyi Mukendi Kalala, Kalonji Mundele, Serge Lenye, Patience Kinshie Basele, Tighana Wenge Ilunga, Aristarque Mayemba, Christian N. Kasoro, Nathanaël M. Kasereka, Selain K. Mikese, Hardy Tardif, Pierre-Martin Frappier, Marc Kabanza, Froduald Chikhaoui, Belkacem Wang, Shengrui Sumbu, Ali Mulenda Ndona, Xavier Intudi, Raoul Kienge-Kienge |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_18783 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Psychological Profiling in Cybersecurity: A Look at LLMs and Psycholinguistic Features Tshimula, Jean Marie Nkashama, D'Jeff K. Muabila, Jean Tshibangu Galekwa, René Manassé Kanda, Hugues Dialufuma, Maximilien V. Didier, Mbuyi Mukendi Kalala, Kalonji Mundele, Serge Lenye, Patience Kinshie Basele, Tighana Wenge Ilunga, Aristarque Mayemba, Christian N. Kasoro, Nathanaël M. Kasereka, Selain K. Mikese, Hardy Tardif, Pierre-Martin Frappier, Marc Kabanza, Froduald Chikhaoui, Belkacem Wang, Shengrui Sumbu, Ali Mulenda Ndona, Xavier Intudi, Raoul Kienge-Kienge Computation and Language Machine Learning 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. |
| title | Psychological Profiling in Cybersecurity: A Look at LLMs and Psycholinguistic Features |
| topic | Computation and Language Machine Learning |
| url | https://arxiv.org/abs/2406.18783 |