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http://hdl.handle.net/10603/575813
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DC Field | Value | Language |
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dc.coverage.spatial | ||
dc.date.accessioned | 2024-07-08T10:01:42Z | - |
dc.date.available | 2024-07-08T10:01:42Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/575813 | - |
dc.description.abstract | The 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.extent | xii,144 | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | A Blockchain based Secure Communication Framework for the Internet of Medical Things Network | |
dc.title.alternative | ||
dc.creator.researcher | Ashok, Kanneboina | |
dc.subject.keyword | Blockchain | |
dc.subject.keyword | Internet of Medical Things | |
dc.subject.keyword | Internet of Things | |
dc.description.note | ||
dc.contributor.guide | Gopikrishnan, S | |
dc.publisher.place | Amaravati | |
dc.publisher.university | Vellore Institute of Technology (VIT-AP) | |
dc.publisher.institution | Department of Computer Science and Engineering | |
dc.date.registered | 2021 | |
dc.date.completed | 2024 | |
dc.date.awarded | 2024 | |
dc.format.dimensions | 29x19 | |
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science and Engineering |
Files in This Item:
File | Description | Size | Format | |
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1_title page.pdf | Attached File | 190.45 kB | Adobe PDF | View/Open |
3_table of contents.pdf | 45.33 kB | Adobe PDF | View/Open | |
4_abstract.pdf | 57.46 kB | Adobe PDF | View/Open | |
5_chapter-1.pdf | 1.5 MB | Adobe PDF | View/Open | |
6_chapter-2.pdf | 672.21 kB | Adobe PDF | View/Open | |
7_chapter-3.pdf | 1.35 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 64.46 kB | Adobe PDF | View/Open | |
8_chapter-4.pdf | 828.72 kB | Adobe PDF | View/Open | |
9_chapter-5.pdf | 344.02 kB | Adobe PDF | View/Open | |
annexures.pdf | 112.44 kB | Adobe PDF | View/Open | |
prelim pages.pdf | 404.12 kB | Adobe PDF | View/Open |
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