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Secure e-Prescription Management System: Mitigating Blended Threat in IoBEoa mark
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Publication Year
2023-01-01
Publisher
Tech Science Press
Citation
Computer Systems Science and Engineering, Vol.44, pp.2501-2519
Keyword
Authentication schemeblended threate-prescriptioninternet of blended environments
Mesh Keyword
Authentication schemeBlended threatsData storage applicationsE-prescriptionInformation and Communication TechnologiesInternet of blended environmentManagement systemsMedical industriesNew information and communication technologiesSecurity threats
All Science Classification Codes (ASJC)
Control and Systems EngineeringTheoretical Computer ScienceComputer Science (all)
Abstract
New information and communication technologies (ICT) are being applied in various industries to upgrade the value of the major service items. Moreover, data collection, storage, processing, and security applications have led to the creation of an interrelated ICT environment in which one industry can directly influence the other. This is called the "internet of blended environments" (IoBE), as it is an interrelated data environment based on internet-ofthings collection activities. In this environment, security incidents may increase as size and interconnectivity of attackable operations grow. Consequently, preemptive responses to combined security threats are needed to securely utilize IoBE across industries. For example, the medical industry has more stringent information protection measures than other industries. Consequently, it has become a major target of attackers, as more clinician-patient interactions occur over the internet owing to COVID-19. Therefore, this study aims to acquire security for IoBE while focusing on the medical industry. Among the various types of medical ICT services, this study analyzes data flow and potential security threats from the e-prescription lifecycle perspective, which is highly utilized, strongly data-centric, and has numerous security issues. Based on our analysis, we propose a secure authentication and data-sharing scheme.
ISSN
0267-6192
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/32851
DOI
https://doi.org/10.32604/csse.2023.029356
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Type
Article
Funding
Funding Statement: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT; No. 2021R1A2C2011391).
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KWAK, JIN Image
KWAK, JIN곽진
Department of Cyber Security
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