Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Yadav, Lata; Sharma, Vandana Title A name given to the resource Analyzing the Vulnerability of Cyber-Attacks in IoMT Devices Using Generative AI Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Studies in Big Data;Volume;164;pp.299-311 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-75095-3_24" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-75095-3_24</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105002005683?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105002005683?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Yadav L., Department of Computer Science, Christ University, Bengaluru, India; Sharma V., Department of Computer Science, Christ University, Bengaluru, India Description An account of the resource The rapid expansion of Internet of Medical Things (IoMT) gadgets has revolutionized healthcare delivery allowing for real-time monitoring and better patient outcomes. However, this growth has also brought about cybersecurity risks making IoMT devices targets, for cyber attacks. This study delves into the connection between Generative AI and IoMT security emphasizing how advanced AI methods can be used to pinpoint, assess, and address vulnerabilities in these devices. We explore uses of Generative AI, such as simulating cyber-attacks and creating models for future threats to strengthen the resilience of IoMT systems against emerging dangers. By examining existing literature and case studies we showcase the effectiveness of AI-driven strategies in bolstering healthcare cybersecurity. Our results highlight the need for innovation in security measures to protect medical information and uphold the reliability of healthcare services. Ultimately this research contributes to discussions on enhancing cybersecurity protocols in the healthcare industry by advocating for integrating Generative AI as a tool, in combating cyber threats targeting IoMT devices. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. Subject The topic of the resource Artificial intelligence; Cyber-attacks; Generative AI; Internet of medical things Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 21976503; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online