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Publication . Article . 2019

Trust management in a blockchain based fog computing platform with trustless smart oracles

Petar Kochovski; Sandi Gec; Vlado Stankovski; Marko Bajec; Pavel Drobintsev;
Open Access  
Published: 19 Jul 2019 Journal: Future Generation Computer Systems (issn: 0167-739X, Copyright policy )
Trust is a crucial aspect when cyber-physical systems have to rely on resources and services under ownership of various entities, such as in the case of Edge, Fog and Cloud computing. The DECENTER’s Fog Computing Platform is developed to support Big Data pipelines, which start from the Internet of Things (IoT), such as cameras that provide video-streams for subsequent analysis. It is used to implement Artificial Intelligence (AI) algorithms across the Edge-Fog-Cloud computing continuum which provide benefits to applications, including high Quality of Service (QoS), improved privacy and security, lower operational costs and similar. In this article, we present a trust management architecture for DECENTER that relies on the use of blockchain-based Smart Contracts (SCs) and specifically designed trustless Smart Oracles. The architecture is implemented on Ethereum ledger (testnet) and three trust management scenarios are used for illustration. The scenarios (trust management for cameras, trusted data flow and QoS based computing node selection) are used to present the benefits of establishing trust relationships among entities, services and stakeholders of the platform.
Subjects by Vocabulary

Microsoft Academic Graph classification: Big data business.industry business Quality of service Node (networking) Trust management (information system) Cloud computing Blockchain Smart contract Computer science Computer security computer.software_genre computer


Computer Networks and Communications, Hardware and Architecture, Software, Trust, Fog, Blockchain, Smart contract, Smart oracle

Funded by
Decentralised technologies for orchestrated cloud-to-edge intelligence
  • Funder: European Commission (EC)
  • Project Code: 815141
  • Funding stream: H2020 | RIA
Validated by funder
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Future Generation Computer Systems
License: cc-by
Providers: UnpayWall