A novel model for data storage using LZW compression technique for Cloud based Electronic Healthcare Systems

Perugu, Srija (2022) A novel model for data storage using LZW compression technique for Cloud based Electronic Healthcare Systems. Masters thesis, Dublin, National College of Ireland.

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Abstract

In recent years, there has been a significant shift toward storing electronic health records in mobile cloud environments, wherein mobile devices are integrated to cloud computing to facilitate medical information exchange between healthcare providers and patients. This cutting-edge model has made it possible to provide healthcare services due to the adaptability and efficacy, accessibility of electronic health records (EHRs). E-health systems, which store and transfer patient information online, have their privacy and security compromised by this new paradigm.

A new model for sharing EHRs is developed using the blockchain and distributed interplanetary file system (IPFS) on a mobile cloud platform. To achieve truly decentralised data storage and sharing, blockchain has been integrated into a distributed interplanetary file system. In this model, all patient medical records are stored on a server running a distributed interplanetary file system. Since this server has limited memory, it becomes a problem if all files are stored in plain text format. This paper present a model here that makes use of the LZW compression method to first compress all of the medical records and then store the resulting compressed file in order to cut down on storage space requirements.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Sahni, Vikas UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing H Social Sciences > HM Sociology > Information Science > Communication > Medical Informatics
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Tamara Malone
Date Deposited:	19 Apr 2023 13:09
Last Modified:	19 Apr 2023 13:09
URI:	https://norma.ncirl.ie/id/eprint/6483

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