Secure and Enhanced Cyber-Threat Detection in IoMT Using Locally Deployed Large Language Models.

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Bibliographic Details
Title: Secure and Enhanced Cyber-Threat Detection in IoMT Using Locally Deployed Large Language Models.
Authors: Abbasi SF; Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham B15 2TT, United Kingdom., Bilal M; School of Engineering, University of Edinburgh, Edinburgh EH8 9YL, UK., Ding X; Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham B15 2TT, United Kingdom., Bai L; Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham B15 2TT, United Kingdom., Pournik O; Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham B15 2TT, United Kingdom., Islam SU; WMG, University of Warwick, Coventry CV4 7AL, UK., Epiphaniou G; WMG, University of Warwick, Coventry CV4 7AL, UK., Maple C; WMG, University of Warwick, Coventry CV4 7AL, UK., Arvanitis TN; Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham B15 2TT, United Kingdom.
Source: Studies in health technology and informatics [Stud Health Technol Inform] 2026 May 21; Vol. 336, pp. 969-973.
Publication Type: Journal Article
Journal Info: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
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