Preliminary Exploration of Pre-Trained Vision-Language Models for Cyber-Threat Modelling in Internet of Medical Things (IoMT)...35th Medical Informatics Europe Conference (MIE 2025), May 19-21, 2025, Glasgow, Scotland.

The field of image processing is undergoing a significant transformation, driven by the advancements in vision-language models (VLMs) based on groundbreaking transformer architectures. With the expansion of Internet of Medical Things (IoMT) devices, the need for robust and efficient threat detection...

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Publicado en:Studies in Health Technology & Informatics Vol. 327; pp. 1195 - 1200
Autores principales: ABBASI, Saadullah Farooq, BILAL, Muhammad, MUKHERJEE, Teesta, POURNIK, Omid, MOUKAFIH, Nabil, EPIPHANIOU, Gregory, MAPLE, Carsten, ARVANITIS, Theodoros N.
Formato: equations & formulas proceedings research tables/charts Journal Article
Publicado: Sage Publications Inc. 2025
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2025
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      pub: Sage Publications Inc.
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        atl: Preliminary Exploration of Pre-Trained Vision-Language Models for Cyber-Threat Modelling in Internet of Medical Things (IoMT)...35th Medical Informatics Europe Conference (MIE 2025), May 19-21, 2025, Glasgow, Scotland.
      aug:
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          ABBASI, Saadullah Farooq
          BILAL, Muhammad
          MUKHERJEE, Teesta
          POURNIK, Omid
          MOUKAFIH, Nabil
          EPIPHANIOU, Gregory
          MAPLE, Carsten
          ARVANITIS, Theodoros N.
        affil: Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham B15 2TT, United Kingdom.
      sug:
        subj:
          Data Security
          Internet of Things
          User-Computer Interface
          Artificial Intelligence, Generative
          Risk Assessment
          Automation
          Congresses and Conferences Scotland
          Scotland
          Data Breach
          Encryption
          Access to Information
          Privacy and Confidentiality
          Cloud Computing
          Image Processing, Computer Assisted
          Artificial Intelligence
      ab: The field of image processing is undergoing a significant transformation, driven by the advancements in vision-language models (VLMs) based on groundbreaking transformer architectures. With the expansion of Internet of Medical Things (IoMT) devices, the need for robust and efficient threat detection methods has become increasingly critical. The rapid expansion of IoMT networks demands solutions that can automatically identify network-based threats with high precision and low computational cost. This paper presents a novel approach using a pre-trained vision-language model (VLM) that enhances threat detection and develops mitigation strategies for securing IoMT architectures. A custom-designed graphical user interface (GUI) has been created, allowing automated threat detection and the recommendation of mitigation measures. The GUI processes IoMT model images, identifying the components, associated cyber-threats, and propose appropriate mitigation steps. We present results from a real-world case study demonstrating the efficacy of real-time threat detection in reducing the potential impact of cyberattacks on IoMT networks.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        proceedings
        research
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      ougenre: Article
    language: English
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