Reliable Data Analysis through Blockchain based Crowdsourcing in Mobile Ad-hoc Cloud

Journal article


Rasool, S, Iqbal, M, Dagiuklas, T, Ul Qayyum, Z and Shancang, L (2019). Reliable Data Analysis through Blockchain based Crowdsourcing in Mobile Ad-hoc Cloud. Mobile Networks and Applications. 25, pp. 153-163.
AuthorsRasool, S, Iqbal, M, Dagiuklas, T, Ul Qayyum, Z and Shancang, L
Abstract

Mobile Ad-hoc Cloud (MAC) is the constellation of nearby mobile devices to serve the heavy computational needs of the resource constrained edge devices. One of the major challenges of MAC is to convince the mobile devices to offer their limited resources for the shared computational pool. Credit based rewarding system is considered as an effective way of incentivizing the arbitrary mobile devices for joining the MAC network and to earn the credits through computational crowdsourcing. The next challenge is to get the reliable computation as incentives attract the malicious devices to submit fake computational results for claiming their reward and we have used the blockchain based reputation system for identifying the malicious participants of MAC. This paper presents a malicious node identification algorithm integrated within the Iroha based permissioned blockchain. Iroha is a project of hyperledger which is focused on mobile devices and thus light-weight in nature. It is used for keeping the track of rewarding and reputation system driven by the malicious node detection algorithm. Experiments are conducted for evaluated the implemented test-bed and results show the effectiveness of algorithm in identifying the malicious devices and conducting the reliable data analysis through the blockchain based computational crowdsourcing in MAC.

This is a post-peer-review, pre-copyedit version of an article published in Mobile Networks and Applications. The final authenticated version is available online at: https://link.springer.com/journal/11036

Year2019
JournalMobile Networks and Applications
Journal citation25, pp. 153-163
PublisherSpringer Verlag
ISSN1383-469X
Digital Object Identifier (DOI)doi:10.1007/s11036-019-01221-x
Web address (URL)https://link.springer.com/article/10.1007/s11036-019-01221-x
Publication dates
Online01 Jun 2019
Print01 Feb 2020
Publication process dates
Deposited01 Apr 2019
Accepted18 Jan 2019
Accepted author manuscript
License
CC BY 4.0
File Access Level
Open
Permalink -

https://openresearch.lsbu.ac.uk/item/867z1

Accepted author manuscript
MONET_Final_Copy.pdf
License: CC BY 4.0
File access level: Open

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