A conceptual privacy framework for privacy-aware IoT health applications

Internet of things (IoT) is intensely gaining reputation due to its necessity and efficiency in the computer realm.The support of wireless connectivity as well as the emergence of gadgets alleviates its usage essentially in governing systems in various fields.Though these systems are ubiquitous, p...

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Main Authors: Thinakaran, Kavenesh, Jaspaljeet, Singh Dhillon, Gunasekaran, Saraswathy Shamini, Lim, Fung Chen
Format: Conference or Workshop Item
Language:English
Published: 2017
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/22821/1/ICOCI%202017%20175-183.pdf
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author Thinakaran, Kavenesh
Jaspaljeet, Singh Dhillon
Gunasekaran, Saraswathy Shamini
Lim, Fung Chen
author_facet Thinakaran, Kavenesh
Jaspaljeet, Singh Dhillon
Gunasekaran, Saraswathy Shamini
Lim, Fung Chen
author_sort Thinakaran, Kavenesh
collection UUM
description Internet of things (IoT) is intensely gaining reputation due to its necessity and efficiency in the computer realm.The support of wireless connectivity as well as the emergence of gadgets alleviates its usage essentially in governing systems in various fields.Though these systems are ubiquitous, pervasive and seamless, an issue concerning consumers’ privacy remains debatable. This is most evident in the health sector, as there is an immaculate rise in terms of awareness amongst patients where data privacy is concerned. In this paper, we propose a framework modelling the privacy requirements for IoT-based health applications.We have reviewed several privacy frameworks to derive at the essential principles required to develop privacy-aware IoT health applications.The proposed framework presents important privacy requirements to be addressed in the development of novel IoT health applications.
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spelling uum-228212017-07-26T08:20:44Z https://repo.uum.edu.my/id/eprint/22821/ A conceptual privacy framework for privacy-aware IoT health applications Thinakaran, Kavenesh Jaspaljeet, Singh Dhillon Gunasekaran, Saraswathy Shamini Lim, Fung Chen QA75 Electronic computers. Computer science Internet of things (IoT) is intensely gaining reputation due to its necessity and efficiency in the computer realm.The support of wireless connectivity as well as the emergence of gadgets alleviates its usage essentially in governing systems in various fields.Though these systems are ubiquitous, pervasive and seamless, an issue concerning consumers’ privacy remains debatable. This is most evident in the health sector, as there is an immaculate rise in terms of awareness amongst patients where data privacy is concerned. In this paper, we propose a framework modelling the privacy requirements for IoT-based health applications.We have reviewed several privacy frameworks to derive at the essential principles required to develop privacy-aware IoT health applications.The proposed framework presents important privacy requirements to be addressed in the development of novel IoT health applications. 2017-04-25 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/22821/1/ICOCI%202017%20175-183.pdf Thinakaran, Kavenesh and Jaspaljeet, Singh Dhillon and Gunasekaran, Saraswathy Shamini and Lim, Fung Chen (2017) A conceptual privacy framework for privacy-aware IoT health applications. In: 6th International Conference on Computing & Informatics (ICOCI2017), 25 - 27 April 2017, Kuala Lumpur. http://icoci.cms.net.my/PROCEEDINGS/2017/Pdf_Version_Chap03e/PID138-175-183e.pdf
spellingShingle QA75 Electronic computers. Computer science
Thinakaran, Kavenesh
Jaspaljeet, Singh Dhillon
Gunasekaran, Saraswathy Shamini
Lim, Fung Chen
A conceptual privacy framework for privacy-aware IoT health applications
title A conceptual privacy framework for privacy-aware IoT health applications
title_full A conceptual privacy framework for privacy-aware IoT health applications
title_fullStr A conceptual privacy framework for privacy-aware IoT health applications
title_full_unstemmed A conceptual privacy framework for privacy-aware IoT health applications
title_short A conceptual privacy framework for privacy-aware IoT health applications
title_sort conceptual privacy framework for privacy aware iot health applications
topic QA75 Electronic computers. Computer science
url https://repo.uum.edu.my/id/eprint/22821/1/ICOCI%202017%20175-183.pdf
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