Data provenance in the Internet of Things

Mahmoud Elkhodr; Belal Alsinglawi; Mohammad Alshehri

doi:10.1109/WAINA.2018.00175

Data provenance in the Internet of Things

Mahmoud Elkhodr, Belal Alsinglawi, Mohammad Alshehri

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

36 Citations (Scopus)

Abstract

![CDATA[There is a need to create a trusted and secure IoT environment to share information, create knowledge and perform digital transactions. Trustworthy data collection, mining and fusion is vital for the successful widespread acceptance of IoT applications. This requires not only accurate, secure, and precise data collection; but also provisioning of data provenance throughout the whole life-cycle of the IoT device. To this end, this paper introduces a provenance-based trust management solution which helps in establishing a trust relationship among communicating devices in the IoT. This work extends the Internet of Things Management Platform (IoT-MP) by assuring data provenance. Thus complementing the previous IoT-MP capabilities in preserving the privacy of users in the IoT.]]

Original language	English
Title of host publication	Proceedings of the 32nd IEEE International Conference on Advanced Information Networking and Applications Workshops (WAINA 2018), 16-18 May 2018, Krakow, Poland
Publisher	IEEE
Pages	727-731
Number of pages	5
ISBN (Print)	9781538653944
DOIs	https://doi.org/10.1109/WAINA.2018.00175
Publication status	Published - 2018
Event	International Conference on Advanced Information Networking and Applications Workshops - Duration: 16 May 2018 → …

Conference

Conference	International Conference on Advanced Information Networking and Applications Workshops
Period	16/05/18 → …

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10.1109/WAINA.2018.00175

Cite this

@inproceedings{5357c98b9cd94f0f8dac03714bc1c1c5,

title = "Data provenance in the Internet of Things",

abstract = "![CDATA[There is a need to create a trusted and secure IoT environment to share information, create knowledge and perform digital transactions. Trustworthy data collection, mining and fusion is vital for the successful widespread acceptance of IoT applications. This requires not only accurate, secure, and precise data collection; but also provisioning of data provenance throughout the whole life-cycle of the IoT device. To this end, this paper introduces a provenance-based trust management solution which helps in establishing a trust relationship among communicating devices in the IoT. This work extends the Internet of Things Management Platform (IoT-MP) by assuring data provenance. Thus complementing the previous IoT-MP capabilities in preserving the privacy of users in the IoT.]]",

author = "Mahmoud Elkhodr and Belal Alsinglawi and Mohammad Alshehri",

year = "2018",

doi = "10.1109/WAINA.2018.00175",

language = "English",

isbn = "9781538653944",

pages = "727--731",

booktitle = "Proceedings of the 32nd IEEE International Conference on Advanced Information Networking and Applications Workshops (WAINA 2018), 16-18 May 2018, Krakow, Poland",

publisher = "IEEE",

note = "International Conference on Advanced Information Networking and Applications Workshops ; Conference date: 16-05-2018",

}

Elkhodr, M, Alsinglawi, B & Alshehri, M 2018, Data provenance in the Internet of Things. in Proceedings of the 32nd IEEE International Conference on Advanced Information Networking and Applications Workshops (WAINA 2018), 16-18 May 2018, Krakow, Poland. IEEE, pp. 727-731, International Conference on Advanced Information Networking and Applications Workshops, 16/05/18. https://doi.org/10.1109/WAINA.2018.00175

Data provenance in the Internet of Things. / Elkhodr, Mahmoud; Alsinglawi, Belal; Alshehri, Mohammad.
Proceedings of the 32nd IEEE International Conference on Advanced Information Networking and Applications Workshops (WAINA 2018), 16-18 May 2018, Krakow, Poland. IEEE, 2018. p. 727-731.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - Data provenance in the Internet of Things

AU - Elkhodr, Mahmoud

AU - Alsinglawi, Belal

AU - Alshehri, Mohammad

PY - 2018

Y1 - 2018

N2 - ![CDATA[There is a need to create a trusted and secure IoT environment to share information, create knowledge and perform digital transactions. Trustworthy data collection, mining and fusion is vital for the successful widespread acceptance of IoT applications. This requires not only accurate, secure, and precise data collection; but also provisioning of data provenance throughout the whole life-cycle of the IoT device. To this end, this paper introduces a provenance-based trust management solution which helps in establishing a trust relationship among communicating devices in the IoT. This work extends the Internet of Things Management Platform (IoT-MP) by assuring data provenance. Thus complementing the previous IoT-MP capabilities in preserving the privacy of users in the IoT.]]

AB - ![CDATA[There is a need to create a trusted and secure IoT environment to share information, create knowledge and perform digital transactions. Trustworthy data collection, mining and fusion is vital for the successful widespread acceptance of IoT applications. This requires not only accurate, secure, and precise data collection; but also provisioning of data provenance throughout the whole life-cycle of the IoT device. To this end, this paper introduces a provenance-based trust management solution which helps in establishing a trust relationship among communicating devices in the IoT. This work extends the Internet of Things Management Platform (IoT-MP) by assuring data provenance. Thus complementing the previous IoT-MP capabilities in preserving the privacy of users in the IoT.]]

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DO - 10.1109/WAINA.2018.00175

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BT - Proceedings of the 32nd IEEE International Conference on Advanced Information Networking and Applications Workshops (WAINA 2018), 16-18 May 2018, Krakow, Poland

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Data provenance in the Internet of Things

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