Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/592560
Title: Securing healthcare data in the cloud using blockchain and cryptographic approaches
Researcher: Suganthi, P
Guide(s): Kavitha, R
Keywords: blockchain
Engineering
Engineering and Technology
healthcare data
Instruments and Instrumentation
University: Anna University
Completed Date: 2024
Abstract: In the rapidly growing intelligent applications generating vast amounts of data, the paramount need for a robust security platform becomes imperative to safeguard the integrity and confidentiality of sensitive information. Intelligent devices like the Internet of Things (IoT), Cyber-physical systems, smartwatches, and the Internet of Medical Things (IoMT) generate enormous amounts of daily data. This data is stored in a cloud platform due to its large data handling capacity. However, the security framework is not static by cloud service providers. The user needs to avail of security features from the third-party integration. To help this scenario, the blockchain model is used with a cloud framework for storing data with high security. Blockchain is an absolute storage device where data stored is always unchangeable and consistent. This study focuses on providing high security for large datasets from smart applications. There is a variety of encryption and decryption algorithms studied from state-of-the-art techniques. Those researches prove that the cloud has a high confidential rate in storing data. But when we come to the security and privacy part, it is unanswerable. newline
Pagination: xiii,159p.
URI: http://hdl.handle.net/10603/592560
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File10.06 kBAdobe PDFView/Open
02_prelim_pages.pdf2.58 MBAdobe PDFView/Open
03_content.pdf13.76 kBAdobe PDFView/Open
04_abstract.pdf9.42 kBAdobe PDFView/Open
05_chapter1.pdf783.81 kBAdobe PDFView/Open
06_chapter2.pdf648.46 kBAdobe PDFView/Open
07_chapter3.pdf1.6 MBAdobe PDFView/Open
08_chapter4.pdf1.08 MBAdobe PDFView/Open
09_annexures.pdf130.47 kBAdobe PDFView/Open
80_recommendation.pdf82.21 kBAdobe PDFView/Open
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