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Data trustworthiness in Internet of Things: A taxonomy and future directions

Data Trustworthiness in Internet of Things (IoT) is a significant concern as the decision-making process, and actionable insights rely entirely on the data. False or misleading data could lead to wrong decisions with severe consequences. Data trustworthiness is the possibility to ascertain the corre...

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Main Authors: Haron, N., Jaafar, J., Aziz, I.A., Hassan, M.H., Shapiai, M.I.
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2018
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047436649&doi=10.1109%2fICBDAA.2017.8284102&partnerID=40&md5=8f45dc3627632aa78af9ea3df0222e47
http://eprints.utp.edu.my/21777/
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spelling my.utp.eprints.217772019-01-10T07:33:42Z Data trustworthiness in Internet of Things: A taxonomy and future directions Haron, N. Jaafar, J. Aziz, I.A. Hassan, M.H. Shapiai, M.I. Data Trustworthiness in Internet of Things (IoT) is a significant concern as the decision-making process, and actionable insights rely entirely on the data. False or misleading data could lead to wrong decisions with severe consequences. Data trustworthiness is the possibility to ascertain the correctness of the data provided by the data source. Current approaches for measuring data trustworthiness are generally meant for web and traditional sensor network. These methods are not applicable for IoT data since IoT has inherently different nature than other paradigms or domains. However, there are limited extant works on the data trustworthiness for IoT sensor data. Therefore, in this paper, we review the current developments in this area. A taxonomy of Data Trustworthiness for IoT Sensor Data is also presented according to the identified features from the extant works. Moreover, based on the observations, future directions are also proposed. © 2017 IEEE. Institute of Electrical and Electronics Engineers Inc. 2018 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047436649&doi=10.1109%2fICBDAA.2017.8284102&partnerID=40&md5=8f45dc3627632aa78af9ea3df0222e47 Haron, N. and Jaafar, J. and Aziz, I.A. and Hassan, M.H. and Shapiai, M.I. (2018) Data trustworthiness in Internet of Things: A taxonomy and future directions. 2017 IEEE Conference on Big Data and Analytics, ICBDA 2017, 2018-J . pp. 25-30. http://eprints.utp.edu.my/21777/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Data Trustworthiness in Internet of Things (IoT) is a significant concern as the decision-making process, and actionable insights rely entirely on the data. False or misleading data could lead to wrong decisions with severe consequences. Data trustworthiness is the possibility to ascertain the correctness of the data provided by the data source. Current approaches for measuring data trustworthiness are generally meant for web and traditional sensor network. These methods are not applicable for IoT data since IoT has inherently different nature than other paradigms or domains. However, there are limited extant works on the data trustworthiness for IoT sensor data. Therefore, in this paper, we review the current developments in this area. A taxonomy of Data Trustworthiness for IoT Sensor Data is also presented according to the identified features from the extant works. Moreover, based on the observations, future directions are also proposed. © 2017 IEEE.
format Article
author Haron, N.
Jaafar, J.
Aziz, I.A.
Hassan, M.H.
Shapiai, M.I.
spellingShingle Haron, N.
Jaafar, J.
Aziz, I.A.
Hassan, M.H.
Shapiai, M.I.
Data trustworthiness in Internet of Things: A taxonomy and future directions
author_facet Haron, N.
Jaafar, J.
Aziz, I.A.
Hassan, M.H.
Shapiai, M.I.
author_sort Haron, N.
title Data trustworthiness in Internet of Things: A taxonomy and future directions
title_short Data trustworthiness in Internet of Things: A taxonomy and future directions
title_full Data trustworthiness in Internet of Things: A taxonomy and future directions
title_fullStr Data trustworthiness in Internet of Things: A taxonomy and future directions
title_full_unstemmed Data trustworthiness in Internet of Things: A taxonomy and future directions
title_sort data trustworthiness in internet of things: a taxonomy and future directions
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2018
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047436649&doi=10.1109%2fICBDAA.2017.8284102&partnerID=40&md5=8f45dc3627632aa78af9ea3df0222e47
http://eprints.utp.edu.my/21777/
_version_ 1738656336742187008
score 13.211869

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