Text Mining Approaches for Exploring Research Trends in the Security Applications of Generative Artificial Intelligence

• DOI: 10.20944/preprints202502.1011.v1
• Publication Date: 2025-02-14T05:07:59Z
• Authors: Jinsick Kim; Byeongsoo Koo; Moonju Nam; Kukjin Jang; Jooyeoun Lee; Myoungsug Chung; Yungseo Song
• Keywords: Technology; QH301-705.5; T; Physics; QC1-999; Engineering (General). Civil engineering (General); Chemistry; ChatGPT security; generative artificial intelligence; AI security; TA1-2040; Biology (General); QD1-999; text mining analysis; research trends in AI security

This study examines the security implications of generative artificial intelligence (GAI), focusing on models such as ChatGPT. As GAI technologies are increasingly integrated into industries like healthcare, education, and media, concerns growing regarding vulnerabilities, ethical challenges, potential for misuse. To address these concerns, this research analyzes 1,047 peer-reviewed academic articles from SCOPUS database using scientometric methods, including term frequency-inverse document frequency (TF-IDF) analysis, keyword centrality latent dirichlet allocation (LDA) topic modeling. The results highlight significant contributions countries United States, China, India, with leading institutions Chinese Academy Sciences National University Singapore driving security. In "ChatGPT" emerged a highly central term, reflecting its prominence in discourse. However, despite frequent mention, showed lower proximity than terms "model" "AI." suggests that while ChatGPT is broadly associated other key themes, it has less direct connection to specific subfields. Topic modeling identified six major AI language models, data processing, risk management. analysis emphasizes need robust frameworks technical ensure responsibility, manage risks safe deployment systems. These must not only incorporate solutions but also accountability, regulatory compliance, continuous underscores importance interdisciplinary integrates technical, legal, perspectives responsible secure technologies.