Research Directions on Big IoT Data Processing Using Distributed Ledger Technology

A Position Paper

Benjamin Agbo, Yongrui Qin, Graham Hill

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The significant growth and adoption of Internet of Things (IoT) solutions has led to tremendous increase in the generation of data. The need for high speed data processing has become very important to meet with the ever increasing volume and velocity of IoT data, due to the large scale and distributed nature of IoT infrastructure and networks. Present cloud based technologies are struggling to meet up with these needs for real time data processing in the midst of enormous amounts of data. The success of bitcoin has inspired more research in the application of Distributed ledger technologies in various domains. The decentralized nature of these platforms have enabled security and privacy of data in previous research and their architecture has a potential for enabling large scale decentralized data processing. In this paper, we identify some open areas of research in the use of distributed ledger technology and propose a framework for storing, analyzing and ensuring the security of large volumes of IoT data.
Original languageEnglish
Title of host publicationProceedings of the 4th International Conference on Internet of Things, Big Data and Security
Subtitle of host publicationIoTBDS 2019
EditorsMuthu Ramachandran, Robert Walters, Gary Wills, Victor Méndez Muñoz, Victor Chang
PublisherSciTePress
Pages385-391
Number of pages7
Volume1
ISBN (Electronic)9789897583698
ISBN (Print)9789897583698
DOIs
Publication statusPublished - 4 May 2019
Event4th International Conference on Internet of Things, Big Data and Security - Heraklion, Greece
Duration: 2 May 20194 May 2019

Conference

Conference4th International Conference on Internet of Things, Big Data and Security
Abbreviated titleIoTBDS 2019
CountryGreece
CityHeraklion
Period2/05/194/05/19

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Cite this

Agbo, B., Qin, Y., & Hill, G. (2019). Research Directions on Big IoT Data Processing Using Distributed Ledger Technology: A Position Paper. In M. Ramachandran, R. Walters, G. Wills, V. Méndez Muñoz, & V. Chang (Eds.), Proceedings of the 4th International Conference on Internet of Things, Big Data and Security: IoTBDS 2019 (Vol. 1, pp. 385-391). SciTePress. https://doi.org/10.5220/0007751203850391
Agbo, Benjamin ; Qin, Yongrui ; Hill, Graham. / Research Directions on Big IoT Data Processing Using Distributed Ledger Technology : A Position Paper. Proceedings of the 4th International Conference on Internet of Things, Big Data and Security: IoTBDS 2019. editor / Muthu Ramachandran ; Robert Walters ; Gary Wills ; Victor Méndez Muñoz ; Victor Chang. Vol. 1 SciTePress, 2019. pp. 385-391
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Agbo, B, Qin, Y & Hill, G 2019, Research Directions on Big IoT Data Processing Using Distributed Ledger Technology: A Position Paper. in M Ramachandran, R Walters, G Wills, V Méndez Muñoz & V Chang (eds), Proceedings of the 4th International Conference on Internet of Things, Big Data and Security: IoTBDS 2019. vol. 1, SciTePress, pp. 385-391, 4th International Conference on Internet of Things, Big Data and Security, Heraklion, Greece, 2/05/19. https://doi.org/10.5220/0007751203850391

Research Directions on Big IoT Data Processing Using Distributed Ledger Technology : A Position Paper. / Agbo, Benjamin; Qin, Yongrui; Hill, Graham.

Proceedings of the 4th International Conference on Internet of Things, Big Data and Security: IoTBDS 2019. ed. / Muthu Ramachandran; Robert Walters; Gary Wills; Victor Méndez Muñoz; Victor Chang. Vol. 1 SciTePress, 2019. p. 385-391.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Agbo B, Qin Y, Hill G. Research Directions on Big IoT Data Processing Using Distributed Ledger Technology: A Position Paper. In Ramachandran M, Walters R, Wills G, Méndez Muñoz V, Chang V, editors, Proceedings of the 4th International Conference on Internet of Things, Big Data and Security: IoTBDS 2019. Vol. 1. SciTePress. 2019. p. 385-391 https://doi.org/10.5220/0007751203850391