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Model Checking of Hyperledger Fabric Smart Contracts
TU Hamburg, Christian Doppler Laboratory for Blockchain Technologies for the Internet of Things, Hamburg, Germany.
University of Tehran, School of ECE, Tehran, Iran.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
University of Tehran, School of ECE, Tehran, Iran.
2023 (English)In: IEEE Int. Conf. Emerging Technol. Factory Autom., ETFA, Institute of Electrical and Electronics Engineers Inc. , 2023Conference paper, Published paper (Refereed)
Abstract [en]

Conducting interactions between shared-purpose organizations that are not entirely trustworthy of each other without centralized oversight is an idea that emerged with the advent of private blockchains such as Hyperledger Fabric and its smart contracts. It is critical to check contracts to ensure their proper functionality, as organizations may collaborate with competitors. Due to the new architecture of Hyperledger Fabric, tools in this area are limited. To formally verify the source code of contracts, we mapped Fabric contract concepts into the Rebeca modeling language. Rebeca is an actor-based language that enables the modeling of concurrent and distributed systems and is supported by a model checking tool, Afra. We have identified vulnerabilities such as deadlock and starvation by examining the desired properties. Using the model checking approach, we could debug the code and hence benefit from speeding up the transactions, creating fewer extra blocks, requiring less storage space to store the ledger, and avoiding wasting computing resources.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2023.
Keywords [en]
Hyperledger Fabric, Model Checking, Smart Contracts, Distributed ledger, Modeling languages, Program debugging, Block-chain, Centralised, Computing resource, Concurrent and distributed systems, Hyperledg fabric, Model checking tools, Models checking, Property, Source codes, Storage spaces, Smart contract
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-64703DOI: 10.1109/ETFA54631.2023.10275704Scopus ID: 2-s2.0-85175470217ISBN: 9798350339918 (print)OAI: oai:DiVA.org:mdh-64703DiVA, id: diva2:1810920
Conference
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Available from: 2023-11-09 Created: 2023-11-09 Last updated: 2023-11-09Bibliographically approved

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Sirjani, Marjan

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CiteExportLink to record
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Citation style
  • apa
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Output format
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  • asciidoc
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