Trustful data trading through monetizing IoT data using BlockChain based review system

Abubaker, Z; Khan, AU; Almogren, A; Abbas, S; Javaid, A; Radwan, A; Javaid, N

Trustful data trading through monetizing IoT data using BlockChain based review system

Abubaker, Z Khan, AU Almogren, A Abbas, S Javaid, A Radwan, A Javaid, N

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Publisher:: Wiley
Publication Type:: Journal Article
Citation:: Concurrency and Computation: Practice and Experience, 2022, 34, (5)
Issue Date:: 2022-02-28

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Field	Value	Language
dc.contributor.author	Abubaker, Z
dc.contributor.author	Khan, AU
dc.contributor.author	Almogren, A
dc.contributor.author	Abbas, S
dc.contributor.author	Javaid, A
dc.contributor.author	Radwan, A
dc.contributor.author	Javaid, N
dc.date.accessioned	2023-06-29T05:39:49Z
dc.date.available	2023-06-29T05:39:49Z
dc.date.issued	2022-02-28
dc.identifier.citation	Concurrency and Computation: Practice and Experience, 2022, 34, (5)
dc.identifier.issn	1532-0626
dc.identifier.issn	1532-0634
dc.identifier.uri	http://hdl.handle.net/10453/171003
dc.description.abstract	In this article, Internet of Things (IoTs) devices are used for sensing the data through which the device owners earn revenue. Interested users can purchase data from IoT device owners, according to their demands. However, users are not confident about the quality of data they are purchasing. Moreover, the users do not rely on the device owner and are not willing to initiate data trading. Currently, data trading systems have many drawbacks, as they involve a third party, security and reputation mechanisms. Therefore, in this article, IoTs and BlockChain (BC) are integrated to monetize IoT's data and provide trustful data trading. A BC based review system to monetize IoT's data trading is developed through Ethereum smart contracts. The review system encourages the owners to provide authentic data and solves the issues regarding data integrity, fake reviews and conflicts between entities. Reviews and ratings are stored in the BC database for providing a guarantee about the data quality to users. To maintain data integrity, we use an advanced encryption standard (AES)-256 encryption technique to encrypt data. Moreover, an arbitrator entity is responsible to resolve conflicts between data owner and users. The incentive is provided to the users and arbitrators to increase user participation and honesty. Simulations are performed for the validation of our system. We examine the proposed model using three parameters: gas consumption, mining time and encryption time.
dc.language	en
dc.publisher	Wiley
dc.relation.ispartof	Concurrency and Computation: Practice and Experience
dc.relation.isbasedon	10.1002/cpe.6739
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0801 Artificial Intelligence and Image Processing, 0803 Computer Software, 0805 Distributed Computing
dc.subject.classification	Distributed Computing
dc.title	Trustful data trading through monetizing IoT data using BlockChain based review system
dc.type	Journal Article
utslib.citation.volume	34
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	0803 Computer Software
utslib.for	0805 Distributed Computing
utslib.copyright.status	closed_access	*
dc.date.updated	2023-06-29T05:39:25Z
pubs.issue	5
pubs.publication-status	Published
pubs.volume	34
utslib.citation.issue	5

Abstract:

In this article, Internet of Things (IoTs) devices are used for sensing the data through which the device owners earn revenue. Interested users can purchase data from IoT device owners, according to their demands. However, users are not confident about the quality of data they are purchasing. Moreover, the users do not rely on the device owner and are not willing to initiate data trading. Currently, data trading systems have many drawbacks, as they involve a third party, security and reputation mechanisms. Therefore, in this article, IoTs and BlockChain (BC) are integrated to monetize IoT's data and provide trustful data trading. A BC based review system to monetize IoT's data trading is developed through Ethereum smart contracts. The review system encourages the owners to provide authentic data and solves the issues regarding data integrity, fake reviews and conflicts between entities. Reviews and ratings are stored in the BC database for providing a guarantee about the data quality to users. To maintain data integrity, we use an advanced encryption standard (AES)-256 encryption technique to encrypt data. Moreover, an arbitrator entity is responsible to resolve conflicts between data owner and users. The incentive is provided to the users and arbitrators to increase user participation and honesty. Simulations are performed for the validation of our system. We examine the proposed model using three parameters: gas consumption, mining time and encryption time.

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

http://hdl.handle.net/10453/171003