Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/575813
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dc.date.accessioned2024-07-08T10:01:42Z-
dc.date.available2024-07-08T10:01:42Z-
dc.identifier.urihttp://hdl.handle.net/10603/575813-
dc.description.abstractThe healthcare sector is at the forefront of technological innovation and patient- newlinecentered care in an era of unparalleled digital transformation. A new paradigm in newlinehealthcare security has been brought about by the spread of Internet of Things (IoT) newlinedevices, the introduction of blockchain technology, and the advancement of machine newlinelearning (ML). This thesis sets out on a revolutionary journey by investigating the ways in which IoT, blockchain, and ML technologies can be integrated to protect patient data,improve the provision of healthcare, and lessen security risks. newlineThe thesis acknowledges the complex issues surrounding healthcare security and newlinestarts with a thorough examination of IoT security models based on remote health mon- newlineitoring. It reveals the complexity of threat mitigation, privacy protection, and data se- newlinecurity in the context of digital healthcare. The understanding that healthcare security is newlinedynamic and ever-changing necessitates creative solutions that can adjust to new threats and shifting network conditions, which is at the heart of this research. Important discoveries highlight how crucial blockchain technology is to maintaining data integrity. newlineIt provides an unchangeable ledger architecture that protects IoT-generated data and electronic health records (EHRs) from manipulation and unwanted access. Simultane- newlineously, machine learning algorithms advance, offering real-time threat detection capa- newlinebilities that enable healthcare providers to quickly detect and address security breaches, newlinethereby enhancing patient safety and data integrity. newlineThis thesis advocates for the creation of security measures that are adaptive to newlinechanging threats and guarantee security resilience, guided by metaheuristic algorithms.Lightweight security solutions are advised in recognition of the resource limitations that are frequently seen in healthcare settings. These are workable, long-term solutions that maximise resource consumption without sacrificing security effectiveness. newlineAdditionally, the study emphasises the im
dc.format.extentxii,144
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleA Blockchain based Secure Communication Framework for the Internet of Medical Things Network
dc.title.alternative
dc.creator.researcherAshok, Kanneboina
dc.subject.keywordBlockchain
dc.subject.keywordInternet of Medical Things
dc.subject.keywordInternet of Things
dc.description.note
dc.contributor.guideGopikrishnan, S
dc.publisher.placeAmaravati
dc.publisher.universityVellore Institute of Technology (VIT-AP)
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registered2021
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions29x19
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science and Engineering

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1_title page.pdfAttached File190.45 kBAdobe PDFView/Open
3_table of contents.pdf45.33 kBAdobe PDFView/Open
4_abstract.pdf57.46 kBAdobe PDFView/Open
5_chapter-1.pdf1.5 MBAdobe PDFView/Open
6_chapter-2.pdf672.21 kBAdobe PDFView/Open
7_chapter-3.pdf1.35 MBAdobe PDFView/Open
80_recommendation.pdf64.46 kBAdobe PDFView/Open
8_chapter-4.pdf828.72 kBAdobe PDFView/Open
9_chapter-5.pdf344.02 kBAdobe PDFView/Open
annexures.pdf112.44 kBAdobe PDFView/Open
prelim pages.pdf404.12 kBAdobe PDFView/Open


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