Using blockchain to support data and service management in IoV/IoT

Obaro Odiete, Richard K. Lomotey, Ralph Deters

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

6 Scopus citations

Abstract

Two required features of a data monetization platform are query and retrieval of the metadata of the resources to be monetized. Centralized platforms rely on the maturity of traditional NoSQL database systems to support these features. These databases for example MongoDB allows for very efficient query and retrieval of data it stores. However, centralized platforms come with a bag of security and privacy concerns, making them not the ideal approach for a data monetization platform. On the other hand, most existing decentralized platforms are only partially decentralized. In this research, we developed Cowry, a platform for publishing of metadata describing available resources (data or services), discovery of published resources including fast search and filtering. Our main contribution is a fully decentralized architecture that combines blockchain and traditional distributed database to gain additional features such as efficient query and retrieval of metadata stored on the blockchain.

Original languageEnglish (US)
Title of host publicationSecurity with Intelligent Computing and Big-data Services
EditorsShiuh-Jeng Wang, Sheng-Lung Peng, Valentina Emilia Balas, Ming Zhao
PublisherSpringer Verlag
Pages344-362
Number of pages19
ISBN (Print)9783319764504
DOIs
StatePublished - Jan 1 2018
EventInternational Conference on Security with Intelligent Computing and Big-data Services, SICBS 2017 - Hualien City, Taiwan, Province of China
Duration: Dec 15 2017Dec 17 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume733
ISSN (Print)2194-5357

Other

OtherInternational Conference on Security with Intelligent Computing and Big-data Services, SICBS 2017
CountryTaiwan, Province of China
CityHualien City
Period12/15/1712/17/17

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

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