Data Provenance in the Internet of Things

Alshehri, M; Elkhodr, M; Alsinglawi, B

Data Provenance in the Internet of Things

Alshehri, M

Elkhodr, M Alsinglawi, B

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2018
Issue Date:: 2018-05-16

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Field	Value	Language
dc.contributor.author	Alshehri, M https://orcid.org/0000-0001-9520-330X	en_US
dc.contributor.author	Elkhodr, M	en_US
dc.contributor.author	Alsinglawi, B	en_US
dc.date	2018-05-16	en_US
dc.date.issued	2018-05-16	en_US
dc.identifier.citation	2018	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126801
dc.description.abstract	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.	en_US
dc.publisher	IEEE	en_US
dc.relation.ispartof	International Conference on Advanced Information Networking and Applications Workshops	en_US
dc.relation.isbasedon	10.1109/WAINA.2018.00175	en_US
dc.rights	© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	Data Provenance in the Internet of Things	en_US
dc.type	Conference Proceeding
utslib.location.activity	Krakow, Poland, Poland	en_US
utslib.for	0805 Distributed Computing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.finish-date	2018-05-18	en_US
pubs.publication-status	Published	en_US
pubs.start-date	2018-05-16	en_US

Abstract:

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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/126801