SMS: A Secure Healthcare Model for Smart Cities

Technological innovations have enabled the realization of a utopian world where all objects of everyday life, as well as humans, are interconnected to form an “Internet of Things (IoT).” These connected technologies and IoT solutions have led to the emergence of smart cities where all components are...

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Main Authors: Gautami Tripathi, Mohd Abdul Ahad, Sara Paiva
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/9/7/1135
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author Gautami Tripathi
Mohd Abdul Ahad
Sara Paiva
author_facet Gautami Tripathi
Mohd Abdul Ahad
Sara Paiva
author_sort Gautami Tripathi
collection DOAJ
description Technological innovations have enabled the realization of a utopian world where all objects of everyday life, as well as humans, are interconnected to form an “Internet of Things (IoT).” These connected technologies and IoT solutions have led to the emergence of smart cities where all components are converted into a connected smart ecosystem. IoT has envisioned several areas of smart cities including the modern healthcare environment like real-time monitoring, patient information management, ambient-assisted living, ambient-intelligence, anomaly detection, and accelerated sensing. IoT has also brought a breakthrough in the medical domain by integrating stake holders, medical components, and hospitals to bring about holistic healthcare management. The healthcare domain is already witnessing promising IoT-based solutions ranging from embedded mobile applications to wearable devices and implantable gadgets. However, with all these exemplary benefits, there is a need to ensure the safety and privacy of the patient’s personal and medical data communicated to and from the connected devices and systems. For a smart city, it is pertinent to have an accessible, effective, and secure healthcare system for its inhabitants. This paper discusses the various elements of technology-enabled healthcare and presents a privacy-preserved and secure “Smart Medical System (SMS)” framework for the smart city ecosystem. For providing real-time analysis and responses, this paper proposes to use the concept of secured Mobile Edge Computing (MEC) for performing critical time-bound computations on the edge itself. In order to protect the medical and personal data of the patients and to make the data tamper-proof, the concept of blockchain has been used. Finally, this paper highlights the ways to capture and store the medical big data generated from IoT devices and sensors.
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spelling doaj.art-a6c67b1501d6490fa9f0331fdda7d7e22023-11-20T06:35:38ZengMDPI AGElectronics2079-92922020-07-0197113510.3390/electronics9071135SMS: A Secure Healthcare Model for Smart CitiesGautami Tripathi0Mohd Abdul Ahad1Sara Paiva2Department of Computer Science and Engineering, Jamia Hamdard, New Delhi 110062, IndiaDepartment of Computer Science and Engineering, Jamia Hamdard, New Delhi 110062, IndiaSchool of Technology and Management, Instituto Politécnico de Viana do Castelo, 4900-367 Viana do Castelo, PortugalTechnological innovations have enabled the realization of a utopian world where all objects of everyday life, as well as humans, are interconnected to form an “Internet of Things (IoT).” These connected technologies and IoT solutions have led to the emergence of smart cities where all components are converted into a connected smart ecosystem. IoT has envisioned several areas of smart cities including the modern healthcare environment like real-time monitoring, patient information management, ambient-assisted living, ambient-intelligence, anomaly detection, and accelerated sensing. IoT has also brought a breakthrough in the medical domain by integrating stake holders, medical components, and hospitals to bring about holistic healthcare management. The healthcare domain is already witnessing promising IoT-based solutions ranging from embedded mobile applications to wearable devices and implantable gadgets. However, with all these exemplary benefits, there is a need to ensure the safety and privacy of the patient’s personal and medical data communicated to and from the connected devices and systems. For a smart city, it is pertinent to have an accessible, effective, and secure healthcare system for its inhabitants. This paper discusses the various elements of technology-enabled healthcare and presents a privacy-preserved and secure “Smart Medical System (SMS)” framework for the smart city ecosystem. For providing real-time analysis and responses, this paper proposes to use the concept of secured Mobile Edge Computing (MEC) for performing critical time-bound computations on the edge itself. In order to protect the medical and personal data of the patients and to make the data tamper-proof, the concept of blockchain has been used. Finally, this paper highlights the ways to capture and store the medical big data generated from IoT devices and sensors.https://www.mdpi.com/2079-9292/9/7/1135healthcareIoTSMSSDNTwofishWSN
spellingShingle Gautami Tripathi
Mohd Abdul Ahad
Sara Paiva
SMS: A Secure Healthcare Model for Smart Cities
Electronics
healthcare
IoT
SMS
SDN
Twofish
WSN
title SMS: A Secure Healthcare Model for Smart Cities
title_full SMS: A Secure Healthcare Model for Smart Cities
title_fullStr SMS: A Secure Healthcare Model for Smart Cities
title_full_unstemmed SMS: A Secure Healthcare Model for Smart Cities
title_short SMS: A Secure Healthcare Model for Smart Cities
title_sort sms a secure healthcare model for smart cities
topic healthcare
IoT
SMS
SDN
Twofish
WSN
url https://www.mdpi.com/2079-9292/9/7/1135
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